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        Analyst Perspectives

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        • for Topic: Analytics
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        OneStream offers a platform designed to serve the needs of accounting and financial planning and analysis (FP&A) organizations. The software handles financial close and consolidation, planning and budgeting, analysis and reporting.

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        Topics: Office of Finance, Analytics, Business Planning, ERP and Continuous Accounting, digital finance, Consolidate and Close Management, AI & Technologies, AI and Machine Learning

        Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Additionally, as I recently explained, the company’s platform addresses a broad range of capabilities that includes data governance and security, data integration and application development, as well as the automation and incorporation of artificial intelligence (AI) and machine learning (ML) models into BI and...

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        Topics: Analytics, AI, Generative AI, Technologies

        Natural language interfaces for business intelligence products existed long before the emergence of generative artificial intelligence. Large language models have allowed BI providers to accelerate the delivery of functionality to convert natural language questions into analytic queries and generate summarizations and recommendations from data and charts. Features that enable natural language query and natural language generation are now ubiquitous.

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        Topics: Analytics, AI, Generative AI

        In an earlier Analyst Perspective, I discussed data democratization’s role in creating a data-driven enterprise agenda. Building a foundation of self-service data discovery, data-driven organizations provide more workers with the ability to analyze and use data. I’ve also examined how generative artificial intelligence (GenAI) could revolutionize business intelligence software by using natural language interfaces to lower the barriers to working with analytics software. Today, however, data...

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        Topics: Analytics, AI, Data Intelligence

        As enterprises embrace the potential opportunities presented by artificial intelligence (AI), they are quickly finding that good data management is a prerequisite. As was explained in ISG’s State of Generative AI Market Report, AI requires data that is clean, well-organized and compliant with regulatory standards. There are multiple challenges to delivering AI-ready data, including combining structured and unstructured data, ensuring that the combined data can be trusted, and validating that...

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        Topics: Machine Learning, Analytics, IT, AI, Data Platforms, ADM, DevOps

        SAP was formed in 1972 to create standardized business software that would integrate all business processes and enable data processing in real time. Following the success of the initial release and subsequent R/2, the company went public in 1988 and has grown into one of the world’s largest software companies, reporting more than $37 billion in revenues in its most recent annual report. Through internal development efforts and numerous acquisitions, including Business Objects, Sybase, Ariba,...

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        Topics: Machine Learning, Analytics, AI, Data Intelligence

        Increased enterprise focus on artificial intelligence (AI) and generative AI (GenAI) has served to sharpen the focus on the need for trusted data and reliable analytics and data operations. The ISG State of Generative AI Market Report highlighted that elevated expectations and demands associated with AI are a forcing function for enterprises to take long-overdue steps to improve data and analytics processes to ensure that data that is clean, well-organized and compliant with regulatory...

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        Topics: Analytics, AI, data operations, Analytics and Data

        As enterprises seek to expand and accelerate the adoption of artificial intelligence (AI) many are finding that longstanding analytics and data challenges are a barrier to success. As was explained in ISG’s State of Generative AI Market Report, AI requires data that is clean, well-organized and compliant with regulatory standards. The need for good data management is by no means new, but the expectations and demands associated with AI are a forcing function for enterprises to take long-overdue...

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        Topics: Machine Learning, Analytics, Data, Artificial intelligence, natural language processing

        Late 2024 saw the publication of the 2024 ISG Buyers Guides for DataOps, providing an assessment of 49 software providers offering products used by data engineers, data scientists, and data and AI professionals to facilitate the use of data for analytics and AI needs. The DataOps Buyers Guide research includes five reports which are focused on overall DataOps, Data Observability, Data Orchestration, Data Pipelines and Data Products. This is the first time in the industry when all software...

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        Topics: Analytics, data operations, Analytics and Data

        It is now more than two years since the launch of ChatGPT introduced the world to generative AI (GenAI) and large language models (LLMs). GenAI-based assistants and co-pilots are now widely adopted, with individuals and enterprises adopting GenAI models to automate the generation of text, digital images, audio, video and code, amongst other things.

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        Topics: Analytics, AI, Analytics and Data

        Databricks recently announced its Series J funding round, successfully raising $10 billion at a valuation of $62 billion. Led by Thrive Capital alongside high-profile investors such as Andreessen Horowitz and Insight Partners, the company intends to invest this capital towards new artificial intelligence (AI) products, acquisitions and significant expansion of its international operations. In the announcement, Databricks reported that it expects to achieve an annual revenue run rate of $3...

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        Topics: Analytics, AI, Analytics and Data

        The degree to which data platforms are critical to efficient business operations cannot be overstated. Without data platforms, enterprises would be reliant on a combination of paper records, time-consuming manual processes and huge libraries of physical files to record, process and store business information. The extent to which that is unthinkable highlights the level at which today’s enterprises and society as a whole rely on data platforms. The core persistence, management, processing and...

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        Topics: Analytics, Analytics and Data

        I recently completed the latest edition of our Business Planning Buyers Guide, which reviews and assesses the offerings of 14 providers of this software. One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. What I discovered is that the availability of this type of vital information is exceedingly slim.

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        Topics: Office of Finance, Analytics, Business Planning, AI and Machine Learning

        When considered at all, unintended consequences are expected to be negative. As enterprises and institutions rush to adopt artificial intelligence and generative AI, the focus is on the potentially unforeseenand unforecastableunfavorable outcomes. However, one very likely positive impact of AI investments in business computing is the near-effortless availability of consistently reliable data for whatever task is at hand. This is coming about because of the need to have large, relevant data...

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        Topics: Office of Finance, Analytics, Business Planning

        Artificial Intelligence and generative AI are beginning to change how enterprises do many things, especially planning and budgeting. This technology has the potential to significantly redefine the mission of the financial planning and analysis group. It will do so by substantially reducing the time spent on the purely mechanical aspects of day-to-day tasks. AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and...

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        Topics: Office of Finance, Analytics, Business Planning, Workforce Management, AI and Machine Learning

        As I explained in our recent Buyers Guide for Data Platforms, the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data platform providers to add dedicated functionality for data engineering, including the development,...

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        Topics: Analytics, natural language processing, AI and Machine Learning

        The emergence of generative artificial intelligence (GenAI) has significant implications at all levels of the technology stack, not least analytics and data products, which serve to support the development, training and deployment of GenAI models, and also stand to benefit from the advances in automation enabled by GenAI. The intersection of analytics and data and GenAI was a significant focus of the recent Google Cloud Next ’24 event. My colleague David Menninger has already outlined the key...

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        Topics: Analytics, AI, natural language processing, AI and Machine Learning

        I recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies as well as the importance of data orchestration to accelerate analytics and artificial intelligence. As I explained in the recent Data Observability Buyers Guide, data observability software is also a critical aspect of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an...

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        Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning

        Oracle held an industry analyst summit recently where the focus was on artificial intelligence (AI) and embedded AI. At the event, Oracle demonstrated progress in adding useful AI-enabled capabilities to its business applications, especially in finance and accounting, supply chain, HR and revenue management. To put this into context, across the software industry, AI is already at work in many finance-focused applications that are currently available, albeit often in limited release. We are in...

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        Topics: Office of Finance, Analytics, Business Planning, ERP and Continuous Accounting, AI and Machine Learning, Order-to-Cash

        I previously wrote about the potential for rapid adoption of the data lakehouse concept as enterprises combined the benefits of data lakes based on low-cost cloud object storage with the structured data processing functionality normally associated with data warehousing. By layering support for table formats, metadata management and transactional updates and deletes as well as query engine and data orchestration functionality on top of low-cost storage of both structured and unstructured data,...

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        Topics: Analytics, Analytics and Data

        We’re quickly approaching the moment when it becomes clear that artificial intelligence (AI) and generative AI (GenAI) will not be free. As that happens, we will discover who’s willing to pay how much and for what. After nearly 18 months of unlimited use-case fantasizing, it should be obvious that not all the potential applications of AI can be realized over the next three to five years because they fail a cost/benefit test. In theory, AI’s potential is almost limitless, but so far, little...

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        Topics: Office of Finance, Analytics, Business Planning, ERP and Continuous Accounting, Order-to-Cash

        Many organizations have adopted DataOps to apply agile development, DevOps and lean manufacturing processes to the development, testing, deployment and orchestration of data integration and processing pipelines. The most likely ultimate outcome of these pipelines is the analytics reports and dashboards enterprises rely on to make business decisions.

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        Topics: Analytics, Analytics and Data

        Analytics software is used by business analysts and decision-makers to facilitate the generation of insights from data. It encompasses business intelligence and decision intelligence software, including reports and dashboards as well as embedded analytics and the development of intelligent applications infused with the results of analytic processes. Analytics software enables enterprises to improve business outcomes by operating more efficiently, accelerating product development and enhancing...

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        Topics: Analytics, AI, Analytics and Data

        I recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies. As I explained in the 2023 Data Orchestration Buyers Guide, today’s analytics environments require agile data pipelines that can traverse multiple data-processing locations and evolve with business needs.

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        Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning

        Enterprises are increasingly recognizing the need to streamline operations for efficiency, agility and innovation. This has led to various “operations” or “Ops” initiatives, each focusing on a specific aspect of enterprise IT. From software development and data analytics to IT and cloud management, these Ops groups are transforming the way enterprises operate and compete.

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        Topics: Analytics, Cloud Computing, Digital Technology, data operations, Analytic Operations, AIOps

        I wrote recently about the role that data intelligence has in enabling enterprises to facilitate data democratization and the delivery of data as a product. Data intelligence provides a holistic view of how, when, and why data is produced and consumed across an enterprise, and by whom. This information can be used by data teams toensure business users and data analysts are provided with self-service access to data that is pertinent to their roles and requirements. Delivering data as a product...

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        Topics: Analytics, Data Ops, data operations, Analytics and Data, AI and Machine Learning

        Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out, a better term might be modern data and analytics smorgasbord. There are arguments for and against using an assortment of tools versus a consolidated platform. For example, purchasing, integrating and deploying a variety of tools can be complex....

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        Topics: Analytics, AI, data operations, Analytics and Data

        The development, testing and deployment of data pipelines is a fundamental accelerator of data-driven strategies, enabling enterprises to extract data from the operational applications and data platforms designed to run the business and load, integrate and transform it into the analytic data platforms and tools used to analyze the business. As I explained in our recent Data Pipelines Buyers Guide, data pipelines are essential to generating intelligence from data. Healthy data pipelines are...

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        Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning

        As enterprises seek to increase data-driven decision-making, many are investing in strategic data democratization initiatives to provide business users and data analysts with self-service access to data across the enterprise. Such access has long been a goal of many enterprises, but few have achieved it. Only 15% of participants in Ventana Research’s Analytics and Data Benchmark Research say their organization is very comfortable allowing business users to work with data that has not been...

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        Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning

        Cloud computing has had an enormous impact on the analytics and data industry in recent decades, with the on-demand provisioning of computational resources providing new opportunities for enterprises to lower costs and increase efficiency. Two-thirds of participants in Ventana Research’s Data Lakes Dynamic Insightsresearch are using a cloud-based environment as the primary data platform for analytics. 

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        Topics: Analytics, AI, Analytics and Data, AI and Machine Learning

        I have previously written about the impact of intelligent operational applications on the requirements for data platforms. Intelligent applications are used to run the business but also deliver personalization, recommendations and other features generated by machine learning and artificial intelligence. As such, they require a combination of operational and analytic processing functionality. The emergence of these intelligent applications does not eradicate the need for separate analysis of...

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        Topics: Analytics, Artificial intelligence, Analytics and Data, AI and Machine Learning

        The increasing importance of intelligent operational applications driven by artificial intelligence (AI) is blurring the lines that have traditionally divided the requirements between operational and analytic data platforms. Operational data platforms have traditionally been deployed to support applications targeted at business users and decision-makers to run the business, with analytic data platforms typically supporting applications used by data and business analysts to analyze the business.

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        Topics: embedded analytics, Analytics, Cloud Computing, analytic data platforms, Analytics and Data

        Ventana Research recently announced its 2024 Market Agenda for Analytics and Data, continuing the guidance we have offered for two decades to help enterprises derive optimal value and improve business outcomes.

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        Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Management, natural language processing, data operations, Process Mining, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

        Ventana Research recently announced its Market Agenda in the expertise area of Customer Experience. CX has emerged as a way for enterprises to demonstrate value and stand out in the marketplace. The technology underlying modern CX is transitioning from tools that are based on communication to those centered on data analysis and process automation. No technology has had as dramatic impact as quickly as Generative AI, which has upended the industry. It allows enterprises to build great...

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        Topics: Customer Experience, Voice of the Customer, Self-service, Analytics, Contact Center, agent management

        The phrase ‘big data’ may have largely gone out of fashion, but the concept of storing and processing all relevant data continues to be important for enterprises seeking to be more data-driven. Doing so requires analytic data platforms capable of storing and processing data in multiple formats and data models. This will be an important focus for the forthcoming Data Platforms Buyer’s Guide 2024. 

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        Topics: Analytics, Business Intelligence, Data Management, Data, Digital Technology, data operations, Analytics and Data, AI and Machine Learning

        I recently discussed how fashion has a surprisingly significant role to play in the data market as various architectural approaches to data storage and processing take turns enjoying a phase in the limelight. Pendulum swing is a theory of fashion that describes the periodic movement of trends between two extremes, such as short and long hemlines or skinny and baggy/flared trousers. Pendulum swing theory is similarly a factor in data technology trends, with an example being the oscillation...

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        Topics: Analytics, Cloud Computing, Data Management, Data, Digital Technology, data operations, Analytics and Data, AI and Machine Learning

        I previously described how Oracle had positioned its database portfolio to address any and all data platform requirements. The caveat to that statement at the time was that any organization wanting to take advantage of the company’s flagship Oracle Autonomous Database could only do so using Oracle Cloud Infrastructure (OCI) cloud computing service, their own datacenter or a hybrid cloud environment. The widespread popularity of Oracle Database and the advanced automation capabilities delivered...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data

        I previously wrote about the challenge facing distributed SQL database providers to avoid becoming pigeonholed as only being suitable for a niche set of requirements. Factors including performance, reliability, security and scalability provide a focal point for new vendors to differentiate from established providers and get a foot in the door with customer accounts. Expanding and retaining those accounts is not necessarily easy, however, especially as general-purpose data platform providers...

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        Topics: Analytics, Cloud Computing, Data, Digital Technology, Streaming Data Events, analytic data platforms, Analytics and Data, AI and Machine Learning

        Alteryx was founded in 1997 and initially focused on analyzing demographic and geographically organized data. In 2006, the company released its eponymous product that established its direction for what the product is today. In 2017, it went public in an IPO on the NYSE. At the time of the IPO, Alteryx was focusing much of its marketing efforts on the data preparation market, particularly to support Tableau. Throughout this time though, Alteryx offered much more than data preparation. As a...

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        Topics: business intelligence, Analytics, data operations, Analytic Operations, Analytics and Data, AI and Machine Learning

        I previously discussed the trust and accuracy limitations of large language models, suggesting that data and analytics vendors provide guidance about potentially inaccurate results and the risks of creating a misplaced level of trust. In the months that have followed, we are seeing some clarity from these vendors about the approaches organizations can take to increase trust and accuracy when developing applications that incorporate generative AI, including fine-tuning and prompt engineering. It...

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        Topics: Analytics, Business Intelligence, Data, Digital Technology, natural language processing, data operations, analytic data platforms, Analytics and Data

        In my past perspectives, I’ve written about the evolution from data at rest to data in motion and the fact that you can’t rely on dashboards for real-time analytics. Organizations are becoming more and more event-driven and operating based on streaming data. As well, analytics are becoming more and more intertwined with operations. More than one-fifth of organizations (22%) describe their analytics workloads as real time in our Data and Analytics Benchmark Research and nearly half (47%) of...

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        Topics: Analytics, Business Intelligence, Data, Digital Technology, Streaming Analytics, Streaming Data Events, Analytics and Data

        I previously described how Databricks had positioned its Lakehouse Platform as the basis for data engineering, data science and data warehousing. The lakehouse design pattern provides a flexible environment for storing and processing data from multiple enterprise applications and workloads for multiple use cases. I assert that by 2025, 8 in 10 current data lake adopters will invest in data lakehouse architecture to improve the business value generated from the accumulated data.

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        Topics: Analytics, Business Intelligence, Data Governance, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

        I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Mobile Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics vendors supporting the spectrum...

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        Topics: Analytics, Analytics and Data

        The 2023 Ventana Research Buyers Guide for Mobile Analytics research enables me to provide observations about how the market has advanced. 

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        Topics: Analytics, Analytics and Data

        I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Collaborative Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics vendors supporting the...

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        Topics: Analytics, Analytics and Data

        The 2023 Ventana Research Buyers Guide for Collaborative Analytics research enables me to provide observations about how the market has advanced. 

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        Topics: Analytics, Analytics and Data

        I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Embedded Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics vendors supporting the spectrum...

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        Topics: embedded analytics, Analytics

        The 2023 Ventana Research Buyers Guide for Embedded Analytics research enables me to provide observations about how the market has advanced. 

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        Topics: embedded analytics, Analytics

        I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Augmented Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics and Data vendors supporting...

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        Topics: Analytics, Augmented Analytics, AI and Machine Learning

        The 2023 Ventana Research Buyers Guide for Augmented Analytics research enables me to provide observations about how the market has advanced. 

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        Topics: Analytics, Augmented Analytics, AI and Machine Learning

        I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Analytics and Data Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics vendors supporting the spectrum...

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        Topics: Analytics, Analytics and Data

        The 2023 Ventana Research Buyers Guide for Analytics and Data research enables me to provide observations about how the market has advanced.

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        Topics: Analytics, Analytics and Data

        Despite a focus on being data-driven, many organizations find that data and analytics projects fail to deliver on expectations. These initiatives can underwhelm for many reasons, because success requires a delicate balance of people, processes, information and technology. Small deviations from perfection in any of those factors can send projects off the rails.

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        Topics: Analytics, Business Intelligence, Data Management, Data, Digital Technology, data operations, AI and Machine Learning

        Organizations are continuously combining data from diverse and siloed sources for analytical, artificial intelligence and machine learning projects. As the volume of data grows, it becomes challenging for organizations to manage and keep current to extract valuable insights in a timely manner.

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        Topics: Analytics, Business Intelligence, AI and Machine Learning

        I have written before about the rising popularity of the data fabric approach for managing and governing data spread across distributed environments comprised of multiple data centers, systems and applications. I assert that by 2025, more than 6 in 10 organizations will adopt data fabric technologies to facilitate the management and processing of data across multiple data platforms and cloud environments. The data fabric approach is also proving attractive to vendors, including Microsoft, as a...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

        At one point, analytics and business intelligence were considered non-mission critical activities. One of the primary concerns in designing analytics systems was to ensure they didn’t interfere with or draw computing resources away from operational systems. But today, analytical systems are integral to many aspects of operations. More than 9 in 10 participants in our Analytics and Data Benchmark Research reported analytics had improved activities and processes. However, most analytics and BI...

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        Topics: Analytics, Business Intelligence, Data Management, Data, Digital Technology, data operations, Analytics and Data

        I recently wrote about the various technologies used by organizations to process and analyze data in real time. I explained that while the terms streaming data and events and streaming analytics are often used interchangeably, they are separate disciplines that make use of common underlying concepts and technologies such as events, event brokers and event-driven architecture. Confluent’s acquisition of Immerok earlier this year provided a reminder of this fact. Confluent is one of the most...

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        Topics: Analytics, Cloud Computing, Data Governance, Data, Digital Technology, Streaming Analytics, Streaming Data Events

        If I had a magic wand, I would want to add scenario evaluation to all business intelligence tools on the market. I have previously written about the need to make intelligent decisions with decision intelligence. The data and analytics markets have evolved so that organizations have far greater capabilities to utilize data in decision-making processes. While there is some convergence around the concept of decision intelligence, there are still several “islands” of decision-making. Analyzing...

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        Topics: Analytics, Business Intelligence, Business Planning, Digital Technology, Analytics and Data

        The current market landscape of data and analytics is undergoing rapid evolution, presenting organizations with a wide array of challenges and opportunities. As data sources and warehouses steadily migrate to the cloud, a significant number of organizations still depend on conventional tools. This reliance on legacy systems hinders the seamless accessibility and adoption of analytics and business intelligence within business processes. Organizations are increasingly turning to embedded...

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        Topics: embedded analytics, Analytics, Business Intelligence, Streaming Analytics, AI and Machine Learning

        A century ago, the big breakthrough in telephones was the ability to dial your party’s number directly. Dialing became necessary when enough people had telephones to require a shift from people-assisted to fully automated connections. But direct dialing was only a local option – you still needed an operator to make long-distance calls. In the 1920s, commenting on their forecast for the expected growth of long-distance calling, the analysts at Bell Laboratories concluded that by midcentury, the...

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        Topics: Office of Finance, Analytics, Business Planning, AI and Machine Learning

        Real-time business is a modern phenomenon, and business transformation has accelerated many business events in recent years. However, the execution of business events has always occurred in real time. Rather, it is the processing of the data related to business events that has accelerated instead of the event itself.

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        Topics: Analytics, Data, Streaming Analytics, Streaming Data Events

        It is a mark of the rapid, current pace of development in artificial intelligence (AI) that machine learning (ML) models, until recently considered state of the art, are now routinely being referred to by developers and vendors as “traditional.” Generative AI, and large language models (LLMs) in particular, have taken the AI world by storm in the past year, automating and accelerating the development of content, including text, digital images, audio and video, as well as computer programs and...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data, Digital Technology, natural language processing, analytic data platforms, Analytics and Data, AI and Machine Learning

        As I have previously explained, we expect an increased demand for intelligent operational applications infused with the results of analytic processes, such as personalization and artificial intelligence-driven recommendations. These systems rely on the analysis of data in the operational data platform to accelerate worker decision-making or improve customer experience.

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        Topics: Analytics, Data, Digital Technology, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

        The publication of Ventana Research’s 2023 Operational Data Platforms Value Index earlier this year highlighted the importance of incorporating analytic processing into operational applications to deliver personalization and recommendations for workers, partners and customers. This importance is being accelerated by interest in generative AI, especially large language models. The emergence of intelligent applications has impacted the requirements for operational data platforms with the need to...

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        Topics: Analytics, Cloud Computing, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

        The Office of Finance can be compared to a numbers factory where the main raw material, data, is transformed into financial statements, management accounting, analyses, forecasts, budgets, regulatory filings, tax returns and all kinds of reports. Data is the strategic raw material of the finance and accounting department. It is the key ingredient in every sale and purchase as well as every transaction of any description. Quality control is essential to achieving high standards of output in any...

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        Topics: Office of Finance, embedded analytics, Analytics, Business Intelligence, Data Management, Business Planning, ERP and Continuous Accounting, data operations, analytic data platforms, AI and Machine Learning

        The data and analytics sector rightly places great importance on data quality: Almost two-thirds (64%) of participants in Ventana Research’s Analytics and Data Benchmark Research cite reviewing data for quality and consistency issues as the most time-consuming task in analyzing data. Data and analytics vendors would not recommend that customers use tools known to have data quality problems. It is somewhat surprising, therefore, that data and analytics vendors are rushing to encourage customers...

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        Topics: Analytics, Data Governance, Data Management, Data, Digital Technology, natural language processing, Analytics and Data, AI and Machine Learning

        MicroStrategy is a long-standing business intelligence and analytics vendor that operates worldwide. Founded in 1989, this publicly traded company with hundreds of millions of dollars in revenue recently held its first in-person conference since prior to the pandemic. Similar to previous in-person events, the event was well attended by about 2,000 attendees and exhibitors. The theme, “MicroStrategy ONE,” is a way to explain the breadth of capabilities the company offers. The breadth of the...

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        Topics: embedded analytics, Analytics, Business Intelligence, Digital Technology, natural language processing, Analytics and Data

        Artificial intelligence (AI) has evolved from a highly specialized niche technology to a worldwide phenomenon. Nearly 9 in 10 organizations use or plan to adopt AI technology. Several factors have contributed to this evolution. First, the amount of data they can collect and store has increased dramatically while the cost of analyzing these large amounts of data has decreased dramatically. Data-driven organizations need to process data in real time which requires AI. In addition, analytics...

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        Topics: Analytics, Digital Technology, natural language processing, Analytics and Data, AI and Machine Learning

        The data platforms market has traditionally been divided between products specifically designed to support operational or analytic workloads, with other market segments having emerged in recent years for data platforms targeted specifically at data science and machine learning (ML), as well as real-time analytics. More recently, we have seen vendor strategies evolving to provide a more consolidated approach, with data platforms designed to address a combination of analytics and data science, as...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

        Generative AI is a class of artificial intelligence used to generate new, seemingly real content. Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups (or clusters) with similar characteristics, or predict which customers are most likely to respond to certain offers.

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        Topics: Analytics, Digital Technology, AI and Machine Learning

        The recent publication of our Value Index research highlights the impact of intelligent applications on the operational data platforms sector. While we continue to believe that, for most use cases, there is a clear, functional requirement for either analytic or operational data platforms, recent growth in the development of intelligent applications infused with the results of analytic processes, such as personalization and artificial intelligence (AI)-driven recommendations, has increasing...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, analytic data platforms, Analytics and Data

        In my perspective on decision intelligence, I lamented the fact that business intelligence technologies have left the rest of the exercise to the reader for too long. Making a decision is a process that involves many steps and many people. Decision-making is so complicated and divorced from day-to-day business processes that organizations have had to create entirely separate teams to focus on the analytics and data to support it. One aspect of the decision-making process that can be enhanced by...

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        Topics: business intelligence, Analytics, Digital Technology, Collaborative & Conversational Computing, Analytics and Data

        Organizations are becoming increasingly aware of the potential value that can be gained by processing big data. As data sources grow, it becomes important to have tools and methods to effectively process, analyze and visualize this information from disparate systems and warehouses.

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        Topics: business intelligence, embedded analytics, Analytics, Streaming Analytics

        People analytics is the application of data and statistical methods to better understand and optimize the human capital within an organization. It has become a crucial aspect of business strategy as organizations seek to make data-driven decisions about the workforce. In the past decade, the people analytics market has experienced substantial growth, as businesses look for ways to gain insight into the effectiveness and efficiency of human capital investments. Most HCM technology platforms...

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        Topics: Human Capital Management, Analytics, HR Analytics, People Analytics

        Organizations are continuously searching for new business opportunities hidden in their data. They are using various technologies including artificial intelligence and machine learning (AI/ML) to uncover granular insights that can support decision-making. Existing tools and dashboards are effective for observing standard metrics; however, they do not address follow-up questions, such as why things are happening or how those events impact performance. Organizations also struggle to derive...

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        Topics: Analytics, Business Intelligence, natural language processing, AI and Machine Learning

        Success with streaming data and events requires a more holistic approach to managing and governing data in motion and data at rest. The use of streaming data and event processing has been part of the data landscape for many decades. For much of that time, data streaming was a niche activity, however, with standalone data streaming and event-processing projects run in parallel with existing batch-processing initiatives, utilizing operational and analytic data platforms. I noted that there has...

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        Topics: Analytics, Data, Digital Technology, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

        Now more than ever, effective data management is crucial to enable decision-makers to better assess information and take calculated actions. It is also important to keep up with the latest trends and technologies to derive higher value from data and analytics and maintain a competitive edge in the market. However, every organization faces challenges with data management and analytics. And as organizations scale, the complexity only increases, creating a need for better data governance, data...

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        Topics: Analytics, Data Governance, Data Management, Data, data operations, analytic data platforms

        Data analytics provide valuable insights and enable organizations to make better decisions, improve performance and gain a competitive advantage in the marketplace. Analytics can change frequently depending on the data being analyzed and the methods used to gather and process it. Factors such as new data, changes in the underlying systems or updates to algorithms can all contribute to differences in an analysis. AnalyticOps helps ensure data is accurate, up-to-date and consistent across...

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        Topics: embedded analytics, Analytics, Business Intelligence

        I’ve previously written about the analytics continuum, which spans a range of capabilities including reporting, visualization, planning, real-time processes, natural language processing, artificial intelligence and machine learning. I’ve also written about the analysis that goes into making intelligent decisions with decision intelligence. In this perspective, I’d like to focus on one end of the analytics continuum, which I’ll label advanced analytics.

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        Topics: Analytics, Digital Technology, Analytics and Data, AI and Machine Learning

        Markets have been more volatile than ever. It creates a need for decision makers to utilize technologies such as artificial intelligence and machine learning (AI/ML) to better understand the external factors that impact their business. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities. However, manual modeling is a time-consuming process and results in a limited number of models and tests. Also, updating those models is...

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        Topics: embedded analytics, Analytics, Business Intelligence, AI and Machine Learning

        Ventana Research recently announced its 2023 Market Agenda for Analytics, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

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        Topics: embedded analytics, Analytics, Business Intelligence, Data, Digital Technology, natural language processing, Process Mining, Collaborative & Conversational Computing, Analytics and Data

        Ventana Research recently announced its 2023 research agenda for the Office of Revenue, continuing the guidance we’ve offered for nearly two decades to help organizations realize their optimal value from applying technology to improve business outcomes. Chief Sales and Revenue Officers face an imperative to manage their sales and revenue organizations, but they don’t always have the guidance they need to embrace technology to achieve the best possible outcomes. As we look forward to 2023, we...

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        Topics: Sales, Analytics, Internet of Things, Data, Sales Performance Management, Digital Technology, Digital Commerce, Conversational Computing, mobile computing, Subscription Management, extended reality, intelligent sales, partner management, AI and Machine Learning

        Ventana Research recently announced its Market Agenda in the expertise area of Customer Experience. CX has emerged as a way for organizations to demonstrate value and stand out in the marketplace. The technology underlying modern CX is transitioning from tools that are based on communication to those centered on data analysis and process automation. This allows organizations to build great experiences and reap the benefits in customer loyalty and value. It also forces companies to reckon with...

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        Topics: Customer Experience, Voice of the Customer, CEM, Self-service, Analytics, Contact Center, agent management, AI and Machine Learning

        I’m proud to share Ventana Research’s 2023 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that improve customer, partner and workforce experiences while also increasing organizational effectiveness and agility.

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        Topics: Analytics, Cloud Computing, Internet of Things, Data, Digital Technology, blockchain, mobile computing, extended reality, robotic automation, Collaborative & Conversational Computing, AI and Machine Learning

        Ventana Research has announced its market agenda for 2023, continuing a 20-year tradition of credibility and trust in our objective efforts to educate and guide the technology market. Our research and insights are backed by our expertise and independence, as we do not share our Market Agenda or our market research – including analyst and market perspectives – with any external party before it is published. We continuously refine our Market Agenda throughout the year to ensure we offer the...

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        Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Analytics, Data, Digital Technology, Operations & Supply Chain, Office of Revenue

        In today’s organization, the myriad of analytics and permutations of dashboards challenge workers’ ability to take contextual actions efficiently. Unfortunately, conventional wisdom for investing in analytics does not recognize the benefits of empowering the workforce to understand the situation, examine options and work together to make the best possible decision.

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        Topics: business intelligence, Analytics, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

        Organizations conduct data analysis in many ways. The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions. This creates difficulties for management to provide and maintain updated information across multiple departments. Our Analytics and Data Benchmark Research shows that organizations face a variety of challenges with analytics and business intelligence. One-third of participants find it difficult to integrate...

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        Topics: embedded analytics, Analytics, Business Intelligence, natural language processing, AI and Machine Learning

        For far too long, business intelligence technologies have left the rest of the exercise to the reader. Many of these tools do an excellent job providing information in an interactive way that lets organizations dive into the data and learn a lot about what has happened across all aspects of the business. More recently, many of these tools have added augmented intelligence capabilities that help explain why things happened. But rarely did any of these tools provide information about what to do...

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        Topics: Analytics, Business Intelligence, Digital Technology, Analytics and Data, AI and Machine Learning

        Analytics processes are all about how organizations use data to create metrics that help manage and improve operations. Yet, the discipline applied to analytics processes seems to be lacking compared to data processes. I’ve pointed out that the weak link in data governance is often analytics. Organizations can also do a better job tying AnalyticOps to DataOps and do more to define and manage metrics. Our research has shown that creating and managing metrics in a semantic model improves...

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        Topics: Analytics, Business Intelligence, Data Governance, Data, Digital Technology, Analytics and Data

        In previous perspectives in this series, I’ve discussed some of the realities of cloud computing including costs, hybrid and multi-cloud configurations and business continuity. This perspective examines the realities of security and regulatory concerns associated with cloud computing. These issues are often cited by our research participants as reasons they are not embracing the cloud. To be fair, the majority of our research participants are embracing the cloud. However, among those that have...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Digital Technology, Analytics and Data, AI and Machine Learning

        Recently, I suggested you need to “mind the gap” between data and analytics. This perspective addresses another gap — the gap in skills between business intelligence (BI) and artificial intelligence/machine learning (AI/ML).

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        Topics: Analytics, Business Intelligence, Digital Technology, Analytics and Data, AI and Machine Learning

        The technology industry has established itself as a pivotal force in its ability to help organizations become more intelligent and automated. But doing so has required a journey of epic proportions for most organizations that have had to endure a transition of competencies and skills that was, in many places, transitioned to consulting firms who were hired appropriately to manage changes. Unfortunately, this step led, in many cases, to an extended focus on digital transformation rather than the...

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        Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Analytics, Data, Digital Technology, Operations & Supply Chain, Office of Revenue

        Embedded business intelligence (BI) continues to transform the business landscape, enabling organizations to quickly interpret data and convert it into actionable insights. It allows organizations to extract information in real time and answer wide-ranging business questions. Embedding analytics helps tackle the issue of extracting information from data which is a time-consuming process. Our research shows organizations spend more time cleaning and optimizing data for analysis rather than...

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        Topics: embedded analytics, Analytics, Business Intelligence, natural language processing, Streaming Analytics, AI and Machine Learning

        In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market. Yet, organizations face a multitude of challenges when transitioning into an analytics-driven enterprise. Our Analytics and Data Benchmark Research shows that more than one-quarter of organizations...

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        Topics: embedded analytics, Analytics, Business Intelligence, IBM, IBM Watson, AI and Machine Learning

        If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we also need to mind the gap between data and analytics. These worlds are often disconnected in organizations and, as a result, it limits their effectiveness and agility.

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        Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Management, data operations, Analytics and Data

        Artificial intelligence and machine learning are valuable to data and analytics activities. Our research shows that organizations using AI/ML report gaining competitive advantage, improving customer experiences, responding faster to opportunities and threats and improving the bottom line with increased sales and lower costs. No wonder nearly 9 in 10 (87%) research participants report using AI/ML or planning to do so.

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        Topics: Analytics, AI and Machine Learning

        As I recently pointed out, process mining has emerged as a pivotal technology for data-driven organizations to discover, monitor and improve processes through use of real-time event data, transactional data and log files. With recent advancements, process mining has become more efficient at discovering insights in complex processes using algorithms and visualizations. Organizations use it to better understand the current state of systems and business processes. It is also used to enable ...

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        Topics: Analytics, Business Intelligence, Process Mining, Streaming Analytics, AI and Machine Learning

        Process mining is defined as the analysis of application telemetry including log files, transaction data and other instrumentation to understand and improve operational processes. Log data provides an abundance of information about what operations are occurring, the sequences involved in the processes, how long the processes are taking and whether or not the processes are completed successfully. As computing power has increased and storage costs have decreased, the economics of collecting and...

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        Topics: Analytics, Business Intelligence, Process Mining, AI and Machine Learning

        Business intelligence has evolved. It now includes a spectrum of analytics, one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make business intelligence and analytics tools more powerful and easier to use. It’s this latter usage that I...

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        Topics: Analytics, Business Intelligence, natural language processing, Collaborative & Conversational Computing, Analytics and Data, AI and Machine Learning

        When I looked at the state of analytics recently, it was clear that analytics are not as widely deployed within organizations as they should be. Only 23% of participants in our Analytics and Data Benchmark Research reported that more than one-half of their organization’s workforce are using analytics. There are many elements to becoming a data-driven organization, as my colleague Matt Aslett points out, but analytics are a necessary component. Our research shows that organizations recognize the...

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        Topics: embedded analytics, Analytics, Analytics and Data

        The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes. They can collect and combine data from internal and external systems to present a holistic view.

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        Topics: Analytics, Business Intelligence, Data Governance, Data Management, Analytics and Data, AI and Machine Learning

        Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to gain an edge in the marketplace and plan more strategically.

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        Topics: embedded analytics, Analytics, Business Intelligence, AI and Machine Learning

        When joining Ventana Research, I noted that the need to be more data-driven has become a mantra among large and small organizations alike. Data-driven organizations stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. Being data-driven is clearly something to aspire to. However, it is also a somewhat vague concept without clear definition. We know data-driven organizations when we see them...

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        Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, natural language processing, data lakes, data operations, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

        I recently wrote about the growing range of use cases for which NoSQL databases can be considered, given increased breadth and depth of functionality available from providers of the various non-relational data platforms. As I noted, one category of NoSQL databases — graph databases — are inherently suitable for use cases that rely on relationships, such as social media, fraud detection and recommendation engines, since the graph data model represents the entities and values and also the...

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        Topics: business intelligence, Analytics, Cloud Computing, Data, Digital Technology, Analytics and Data, AI and Machine Learning

        I previously described the concept of hydroanalytic data platforms, which combine the structured data processing and analytics acceleration capabilities associated with data warehousing with the low-cost and multi-structured data storage advantages of the data lake. One of the key enablers of this approach is interactive SQL query engine functionality, which facilitates the use of existing business intelligence (BI) and data science tools to analyze data in data lakes. Interactive SQL query...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, data lakes, data operations, Analytics and Data, AI and Machine Learning

        I previously explained how the data lakehouse is one of two primary approaches being adopted to deliver what I have called a hydroanalytic data platform. Hydroanalytics involves the combination of data warehouse and data lake functionality to enable and accelerate analysis of data in cloud storage services. The term data lakehouse has been rapidly adopted by several vendors in recent years to describe an environment in which data warehousing functionality is integrated into the data lake...

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        Topics: business intelligence, Analytics, Data, data lakes

        As I recently described, it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads, albeit with growing demand for hybrid data processing use-cases and functionality. Specialist operational and analytic data platforms have historically been the since preferred option, but there have always been general-purpose databases that could be used for both analytic and operational workloads, with tuning...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, Analytics and Data

        I recently wrote about the potential benefits of data mesh. As I noted, data mesh is not a product that can be acquired, or even a technical architecture that can be built. It’s an organizational and cultural approach to data ownership, access and governance. While the concept of data mesh is agnostic to the technology used to implement it, technology is clearly an enabler for data mesh. For many organizations, new technological investment and evolution will be required to facilitate adoption...

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, data operations, Streaming Data Events, AI and Machine Learning

        I recently described the use cases driving interest in hybrid data processing capabilities that enable analysis of data in an operational data platform without impacting operational application performance or requiring data to be extracted to an external analytic data platform. Hybrid data processing functionality is becoming increasingly attractive to aid the development of intelligent applications infused with personalization and artificial intelligence-driven recommendations. These...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, Analytics and Data, AI and Machine Learning

        I recently described how the operational data platforms sector is in a state of flux. There are multiple trends at play, including the increasing need for hybrid and multicloud data platforms, the evolution of NoSQL database functionality and applicable use-cases, and the drivers for hybrid data processing. The past decade has seen significant change in the emergence of new vendors, data models and architectures as well as new deployment and consumption approaches. As organizations adopted...

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        Topics: business intelligence, Analytics, Data Integration, Data, AI and Machine Learning

        Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market. Our research shows that data virtualization is popular in the big data world. One-quarter (27%) of participants in our Data Lake Dynamic Insights Research reported they were currently using data...

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        Topics: embedded analytics, Analytics, Business Intelligence, Streaming Analytics, AI and Machine Learning

        I recently wrote about the importance of data pipelines and the role they play in transporting data between the stages of data processing and analytics. Healthy data pipelines are necessary to ensure data is integrated and processed in the sequence required to generate business intelligence. The concept of the data pipeline is nothing new of course, but it is becoming increasingly important as organizations adapt data management processes to be more data driven.

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Digital transformation, data lakes, data operations, Streaming Data Events, Analytics and Data, AI and Machine Learning

        Data governance is an issue that impacts all organizations large and small, new and old, in every industry, and every region of the world. Data governance ensures that an organization’s data can be cataloged, trusted and protected, improving business processes to accelerate analytics initiatives and support compliance with regulatory requirements. Not all data governance initiatives will be driven by regulatory compliance; however, the risk of falling foul of privacy (and human rights) laws...

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        Topics: Analytics, Data Governance, Data

        I recently described the growing level of interest in data mesh which provides an organizational and cultural approach to data ownership, access and governance that facilitates distributed data processing. As I stated in my Analyst Perspective, data mesh is not a product that can be acquired or even a technical architecture that can be built. Adopting the data mesh approach is dependent on people and process change to overcome traditional reliance on centralized ownership of data and...

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        Topics: Business Continuity, Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, data lakes, Analytics and Data

        I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously. Technology advances now enable organizations to process and analyze information as it is being collected to respond in real time to opportunities and threats. Not all use cases require real-time analysis and response, but many do, including multiple use cases that can improve customer...

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        Topics: business intelligence, Analytics, Internet of Things, Data, Digital Technology, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

        Data mesh is the latest trend to grip the data and analytics sector. The term has been rapidly adopted by numerous vendors — as well as a growing number of organizations —as a means of embracing distributed data processing. Understanding and adopting data mesh remains a challenge, however. Data mesh is not a product that can be acquired, or even a technical architecture that can be built. It is an organizational and cultural approach to data ownership, access and governance. Adopting data mesh...

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Digital transformation, data lakes, data operations, Streaming Data Events, Analytics and Data

        For years, maybe decades, we have heard about the struggles between IT and line-of-business functions. In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business teams in analytics and data processes. We will also look at some of the disconnects between these two groups. And, by looking at how organizations are operating today and the results they are achieving, we can discern some of the best practices for...

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        Topics: Analytics, Business Intelligence, Data, Digital Technology, Analytics and Data, AI and Machine Learning

        Despite widespread and increasing use of the cloud for data and analytics workloads, it has become clear in recent years that, for most organizations, a proportion of data-processing workloads will remain on-premises in centralized data centers or distributed-edge processing infrastructure. As we recently noted, as compute and storage are distributed across a hybrid and multi-cloud architecture, so, too, is the data it stores and relies upon. This presents challenges for organizations to...

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        Topics: Analytics, Business Intelligence, Data Governance, Data, data operations, AI and Machine Learning

        Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance. Traditional processes are slow when transforming large and diverse datasets into something which is easily consumable in BI. And, it can take days or weeks to create reports and dashboards — maybe longer if processes change and new data sources are introduced....

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        Topics: Big Data, Analytics, Business Intelligence

        The various NoSQL databases have become a staple of the data platforms landscape since the term entered the IT industry lexicon in 2009 to describe a new generation of non-relational databases. While NoSQL began as a ragtag collection of loosely affiliated, open-source database projects, several commercial NoSQL database providers are now established as credible alternatives to the various relational database providers, while all the major cloud providers and relational database giants now also...

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        Topics: Analytics, Data, AI and Machine Learning

        Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment. There are various techniques for interpreting human language, ranging from statistical and machine...

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        Topics: Big Data, Analytics, natural language processing, NLP

        Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness. It means the workforce in many organizations...

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        Topics: Sales, business intelligence, embedded analytics, Analytics, Data, Sales Performance Management, Digital Technology, Digital Commerce, natural language processing, Subscription Management, partner management, Collaborative & Conversational Computing

        I recently described the emergence of hydroanalytic data platforms, outlining how the processes involved in generating energy from a lake or reservoir were analogous to those required to generate intelligence from a data lake. I explained how structured data processing and analytics acceleration capabilities are the equivalent of turbines, generators and transformers in a hydroelectric power station. While these capabilities are more typically associated with data warehousing, they are now...

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        Topics: Analytics, Data Governance, Data, Digital Technology, data lakes, data operations, Streaming Data Events, AI and Machine Learning

        Many organizations invest in data governance out of concern over misuse of data or potential data breaches. These are important considerations and valid aspects of data governance programs. However, good data governance also has positive impacts on organizations. For example, I have previously written about the valuable connection between the use of data catalogs and satisfaction with an organization’s data lake. Our most recent Analytics and Data Benchmark Research demonstrates some of the...

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        Topics: embedded analytics, Analytics, Data Governance, Data, Digital Technology

        As I stated when joining Ventana Research, the socioeconomic impacts of the pandemic and its aftereffects have highlighted more than ever the differences between organizations that can turn data into insights and are agile enough to act upon it and those that are incapable of seeing or responding to the need for change. Data-driven organizations stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized...

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        Topics: Analytics, Business Intelligence, Data Integration, Data, data lakes, data operations, Streaming Data Events, AI and Machine Learning

        I recently described how the data platforms landscape will remain divided between analytic and operational workloads for the foreseeable future. Analytic data platforms are designed to store, manage, process and analyze data, enabling organizations to maximize data to operate with greater efficiency, while operational data platforms are designed to store, manage and process data to support worker-, customer- and partner-facing operational applications. At the same time, however, we see...

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        Topics: embedded analytics, Analytics, Business Intelligence, Data, Digital Technology, Streaming Data Events, Analytics and Data, AI and Machine Learning

        Organizations of all sizes are dealing with exponentially increasing data volume and data sources, which creates challenges such as siloed information, increased technical complexities across various systems and slow reporting of important business metrics. Migrating to the cloud does not solve the problems associated with performing analytics and business intelligence on data stored in disparate systems. Also, the computing power needed to process large volumes of data consists of clusters of...

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        Topics: Analytics, Business Intelligence, Data Integration, Data, data lakes, data operations, Streaming Analytics, AI and Machine Learning

        Ventana Research recently announced its 2022 Market Agenda for the Office of Revenue, continuing the guidance we have offered for nearly two decades to help organizations realize optimal value from applying technology to improve business outcomes. Chief sales and revenue officers and their associated operations teams are experts in their respective fields but may not have the guidance needed to employ technology effectively. As we look to 2022, we are focusing on the entire selling and buying...

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        Topics: Sales, Analytics, Internet of Things, Data, Sales Performance Management, Digital Technology, Digital Commerce, Conversational Computing, mobile computing, Subscription Management, extended reality, intelligent sales, partner management, AI and Machine Learning

        Ventana Research recently announced its 2022 Market Agenda for Analytics, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments in order to improve business outcomes.

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        Topics: embedded analytics, Analytics, Business Intelligence, Digital Technology, natural language processing, Process Mining, Collaborative & Conversational Computing, Analytics and Data

        I’m proud to share Ventana Research’s 2022 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that increase workforce effectiveness and organizational agility, ensuring ongoing operations during any type of disruption.

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        Topics: Analytics, Cloud Computing, Internet of Things, Data, Digital Technology

        Ventana Research has announced its market agenda for 2022, continuing the tradition of reliability in our efforts to educate and guide the technology market. Our assessments are backed by our expertise and independence, as we do not share our market agenda or our research – including analyst and market perspectives or our Value Index – with any external party until it is published. We review and refine our market agenda throughout the year to ensure we offer the expertise and insights...

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        Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Analytics, Data, Digital Technology, Operations & Supply Chain, Office of Revenue, Market Agenda

        Organizations today have huge volumes of data across various cloud and on-premises systems which keep growing by the second. To derive value from this data, organizations must query the data regularly and share insights with relevant teams and departments. Automating this process using natural language processing (NLP) and artificial intelligence and machine learning (AI/ML) enables line-of-business personnel to query the data faster, generate reports themselves without depending on IT, and...

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        Topics: embedded analytics, Analytics, Business Intelligence, Data Integration, Data, natural language processing, data lakes, data operations, AI and Machine Learning

        Few trends have had a bigger impact on the data platforms landscape than the emergence of cloud computing. The adoption of cloud computing infrastructure as an alternative to on-premises datacenters has resulted in significant workloads being migrated to the cloud, displacing traditional server and storage vendors. Almost one-half (49%) of respondents to Ventana Research’s Analytics and Data Benchmark Research currently use cloud computing products for analytics and data, and a further...

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data

        Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed. And as the organization increases its data sources and adds more systems and custom applications, it becomes challenging to manage the data consistently and keep data definitions up to date. This increases the need to use master data...

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Analytics and Data

        Pricing is an issue that almost every for-profit company confronts – and usually agonizes over. Chief financial officers must play a part in setting the strategic direction of pricing in their organization. They should not be involved in tactical pricing decisions because they are not close enough to markets and customers, but they should be part of the strategic design of pricing, especially as part of a profitability management effort, which I’ve discussed before.

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        Topics: Office of Finance, Analytics, Financial Performance Management, Digital Commerce

        The need for data-driven decision-making requires organizations to transform not only the approach to business intelligence and data science but also accelerate the development of new operational applications that support greater business agility, enable cloud- and mobile-based consumption, and deliver more interactive and personalized experiences. To stay competitive, organizations need to prioritize the development of new, data-driven applications. As a result, many have been encouraged to...

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        Topics: Analytics, Cloud Computing, Analytics and Data

        The term NoSQL has been a misnomer ever since it appeared in 2009 to describe a group of emerging databases. It was true that a lack of support for Structured Query Language (SQL) was common to the various databases referred to as NoSQL. However, it was always one of a number of common characteristics, including flexible schema, distributed data processing, open source licensing, and the use of non-relational data models (key value, document, graph) rather than relational tables. As the various...

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        Topics: Business Continuity, Analytics, Data, Digital Technology

        Data lakes have enormous potential as a source of business intelligence. However, many early adopters of data lakes have found that simply storing large amounts of data in a data lake environment is not enough to generate business intelligence from that data. Similarly, lakes and reservoirs have enormous potential as sources of energy. However, simply storing large amounts of water in a lake is not enough to generate energy from that water. A hydroelectric power station is required to harness...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, AI and Machine Learning

        As I noted when joining Ventana Research, the range of options faced by organizations in relation to data processing and analytics can be bewildering. When it comes to data platforms, however, there is one fundamental consideration that comes before all others: Is the workload primarily operational or analytic? Although most database products can be used for operational or analytic workloads, the market has been segmented between products targeting operational workloads, and those targeting...

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        Topics: business intelligence, Analytics, Data, data lakes, data operations, AI and Machine Learning

        Any organization that relies heavily on a large labor force looks to automation to reduce costs, and contact centers are no exception. They handle interactions at such large scale that almost any effort to automate some part of the process can deliver measurable efficiencies. Two factors have ratcheted up attention on automating customer experience workflows: the dramatic expansion of digital interaction channels, and the development of artificial intelligence and machine learning tools to...

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        Topics: Customer Experience, Voice of the Customer, Analytics, Data Integration, Contact Center, Data, agent management, data operations, Experience Management, AI and Machine Learning

        TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes. It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters, and more than 30 non-relational structured query language databases, relational database management...

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        Topics: embedded analytics, Analytics, Collaboration, Data Governance, Information Management, Data, Digital Technology, data lakes, AI and Machine Learning

        Organizations have become more agile and responsive, in part, as a result of being more agile with their information technology. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications more quickly. DataOps is enabling organizations to be more agile in their data processes. As organizations are embracing artificial intelligence (AI) and machine learning (ML), they are recognizing the need to adopt MLOps. The same desire for agility...

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        Topics: business intelligence, Analytics, Data Governance, Data, Digital Technology, data operations

        The emergence of the Chief Revenue Officer (CRO) has mirrored the adoption of the subscription model and the development of multiple selling and buying channels over and above the traditional direct sales model, referred to as Revenue Management. Supporting the traditional sales team and management was the sales operations team with responsibilities around incentive compensation, territory and quota planning, sales metrics and reporting and sales forecasting as well as sales engagement and...

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        Topics: Sales, Customer Experience, Analytics, Sales Performance Management, Digital Commerce, Subscription Management, partner management

        Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. The platform enables personnel to work with relational databases, Apache Hadoop, Spark and NoSQL databases for cloud or on-premises jobs. Talend data integration software offers an open and scalable architecture and can be integrated with multiple data warehouses, systems and applications to provide a...

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        Topics: Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, Digital Technology, data lakes, AI and Machine Learning

        Enterprises looking to adopt cloud-based data processing and analytics face a disorienting array of data storage, data processing, data management and analytics offerings. Departmental autonomy, shadow IT, mergers and acquisitions, and strategic choices mean that most enterprises now have the need to manage data across multiple locations, while each of the major cloud providers and data and analytics vendors has a portfolio of offerings that may or may not be available in any given location. As...

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        Topics: Analytics, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, AI and Machine Learning

        How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most. If an organization goes through the trouble of measuring and reporting on a metric, the analysis ought to include all the information needed to evaluate that metric effectively. A number, by itself, does not provide any indication of whether the result is good or bad. Too often, the reader is expected to understand the difference, but...

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        Topics: Analytics, Business Intelligence, Internet of Things, Data, Digital Technology, Streaming Analytics, AI and Machine Learning

        When NICE acquired inContact in 2016, it began a transformation that saw it broaden its product offering and positioned itself to play a larger role in the contact center and customer experience industries. It was a prescient move, creating a firm that could supply end-to-end contact center functionality in the cloud. And it anticipated today’s market dynamic, in which NICE and its competitors are racing to define (and capitalize on) the post-contact center future.

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        Topics: Customer Experience, Voice of the Customer, Business Continuity, Analytics, Contact Center, Data, Digital transformation, agent management, Experience Management, AI and Machine Learning

        Our research shows that nearly all financial service organizations (97%) consider it important to accelerate the flow of information and improve responsiveness. Even just a few years ago, capturing and evaluating this information quickly was much more challenging, but with the advent of streaming data technologies that capture and process large volumes of data in real time, financial service organizations can quickly turn events into valuable business outcomes in the form of new products and...

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        Topics: Analytics, Internet of Things, Data, Digital Technology, Streaming Analytics

        In part one of this Analyst Perspective on the use of artificial intelligence within contact center applications, we focused on the evolution — and resulting benefits — of tools embedded with AI, including ease-of-use for non-data-scientists.

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        Topics: Customer Experience, Voice of the Customer, Analytics, agent management, AI and Machine Learning

        Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. It can enable data engineers, data scientists, analysts and other workers to process big data and unify analytics through a single interface. The platform supports streaming data, SQL queries, graph processing and machine learning. It also offers a collaborative user interface —...

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Information Management, Data, data lakes, AI and Machine Learning

        The work environment today demands that your organization advances the efficiency to execute business processes for continuous operations to have a positive impact on business performance. The capability to be responsive to any range of minor to disruptive business events is required to support business continuity and level of organizational readiness to meet the needs of digital business. Ventana Research asserts that in 2025, one-quarter of organizations will remain digitally ineffective in...

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        Topics: Customer Experience, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Cloud Computing, Contact Center, Data, Digital Technology, Operations & Supply Chain, Enterprise Resource Planning, Digital transformation, natural language processing, continuous supply chain, agent management, Process Mining, Streaming Analytics, Experience Management, AI and Machine Learning

        When artificial intelligence emerged from the labs and vendors started offering it as a component of their software, many contact-center buyers shied away from it. From their point of view, AI and machine learning tools were new, expensive, relatively untested and had an uncertain use case. This stance was understandable, as contact center professionals are traditionally expected to be risk-averse when deploying technology into their operations. Contact centers are, by design, supposed to be...

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        Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, agent management, AI and Machine Learning

        Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data, environmental data and location data as important external data sources. External data is not just part...

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        Topics: Analytics, Business Intelligence, Internet of Things, Data, Digital Technology, Lease Management, Streaming Data, Streaming Analytics, AI and Machine Learning

        The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization. Other similar terms you may have heard include data fabric, data mesh and [data] federation. I’ll briefly...

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        Topics: Analytics, Data Governance, Data Integration, Data, Digital Technology, data lakes

        Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data. The platform features tools to run a variety of analytic functions such as diagnostic, predictive, prescriptive and geospatial analytics in a unified platform, and can connect to various data warehouses, cloud applications,...

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Preparation, Data, AI and Machine Learning

        Data governance is a hot topic these days. In fact, we are conducting benchmark research on the subject here. With increasing regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations face more external oversight of their data governance practices. The risk of significant fines associated with these and other regulations, coupled with organizations’ internal compliance requirements, has brought more attention to data...

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        Topics: Analytics, Data Governance, Data, Digital Technology

        Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets. Collibra’s software uses a microservice architecture and open application programming interfaces to connect to various data ecosystems. Its data intelligence cloud...

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        Topics: Analytics, Business Intelligence, Data Governance, Data Preparation, Information Management, Data, data lakes, AI and Machine Learning

        Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams. Data teams and analysts start by creating common definitions of key performance...

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data, AI and Machine Learning

        Subscription management and billing services help organizations offer unique benefits and enhance delivery to customers. By making services more personalized, organizations can acquire – and retain – more customers.

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        Topics: Sales, Office of Finance, Continuous Planning, embedded analytics, Analytics, Business Intelligence, Business Planning, Product Information Management, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, revenue and lease accounting, continuous supply chain, Subscription Management, partner management, Process Mining, Streaming Analytics, Supplier Relationship Management, AI and Machine Learning

        Customer support operations increasingly rely on automation and complex workflow processes to reduce costs and improve experiences. Automation also allows organizations to make their service processes richer, incorporating information and staff from back offices, for example, or embedding conversational tools into contact center processes.

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        Topics: Customer Experience, embedded analytics, Analytics, Contact Center, natural language processing, agent management, Process Mining, Streaming Analytics, AI and Machine Learning

        Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization. Rapidminer Studio is its visual workflow designer for the creation of predictive models. It offers more than 1,500 algorithms and functions in their library, along with templates, for...

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Preparation, Data, data lakes, AI and Machine Learning

        Confluent Platform is a streaming platform built by the original creators of Apache Kafka. It enables organizations to organize and manage streaming data from various sources. Confluent launched its IPO in June this year and raised $828 million to further expand its business. Confluent Platform was brought to several public cloud vendor marketplaces last year as Confluent Cloud. The offering is currently available in Azure, AWS, and GCP marketplaces. Furthermore, the company strengthened its...

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

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        Topics: Customer Experience, Analytics, Internet of Things, Digital Technology, blockchain, natural language processing, Awards, Conversational Computing, collaborative computing, mobile computing, extended reality, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

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        Topics: Continuous Planning, Analytics, Product Information Management, Price and Revenue Management, Digital Technology, Operations & Supply Chain, Enterprise Resource Planning, Conversational Computing, collaborative computing, continuous supply chain, work experience management, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

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        Topics: Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, Digital Technology, blockchain, data lakes, AI and Machine Learning

        Dialpad provides contact center and business phone services, a market that is in transition due to a convergence of technologies and business conditions.

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        Topics: Customer Experience, Voice of the Customer, Analytics, Collaboration, Contact Center, natural language processing, agent management, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Digital Technology, natural language processing, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

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        Topics: Sales, Analytics, Product Information Management, Digital Commerce, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

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        Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Continuous Planning, embedded analytics, Learning Management, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Business Planning, Contact Center, Data, Product Information Management, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, Revenue, blockchain, natural language processing, data lakes, Total Compensation Management, robotic finance, Predictive Planning, employee experience, candidate engagement, Conversational Computing, Continuous Payroll, collaborative computing, mobile computing, continuous supply chain, Subscription Management, agent management, extended reality, intelligent marketing, sales enablement, work experience management, robotic automation, AI and Machine Learning, lease and tax accounting

        I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2021 Ventana Research Value Index: Collaborative Analytics and Data is the distillation of a year of market and product research by Ventana Research. See our prior post for a description of our methodology and included vendors.

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        Topics: business intelligence, Analytics, Collaboration, Data Preparation, Information Management, Data, Digital Technology, natural language processing, mobile computing

        As mentioned in my Analyst Perspective, Revenue Performance Management: Leadership and Operations for Optimal Outcomes, there is continuing pressure on sales leaders to deliver against sales targets in increasingly competitive markets. Among the various levers that sales leadership can use to support these efforts, are applications and processes that best position sales teams to achieve targets, such as planning and allocating territories, establishing quotas and devising incentive compensation...

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        Topics: Sales, Analytics, Sales Performance Management, Price and Revenue Management, sales enablement, AI and Machine Learning

        I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2021 Ventana Research Value Index: Embedded Analytics and Data is the distillation of a year of market and product research by Ventana Research. See our prior post for a description of our methodology and included vendors.

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        Topics: Analytics, Business Intelligence, Data Preparation, Information Management, Data, natural language processing

        Customer Service & Support (CSS) is a software segment that provides tools for tracking and resolving customer problems, primarily through contact centers. The segment has been mature for decades but today is reinvigorated by a new emphasis on workflows and automation. Vendors, like ServiceNow, have been innovative in developing new technologies for managing self-service and field service, and providing agents with contextually relevant information during interactions. The new technologies...

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        Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, Product Information Management, Digital Commerce, Subscription Management, agent management, AI and Machine Learning

        I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Mobile Analytics and Data 2021 is the distillation of a year of market and product research by Ventana Research. See our prior post for a description of our methodology and which vendors are included.

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        Topics: business intelligence, Analytics, Collaboration, Data Governance, Information Management, Data, Digital Technology, natural language processing, mobile computing

        We are happy to share some insights about Amazon QuickSight drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about Google Looker drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about ThoughtSpot drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about TIBCO Spotfire drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Data, AI and Machine Learning

        We are happy to share some insights about Sisense drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about Infor Birst drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Preparation, Data, Information Management (IM), natural language processing, AI and Machine Learning

        We are happy to share some insights about Microsoft Power BI drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about Tableau drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about SAS drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        Teradata introduced some enhancements to its Vantage platform last year in which they expanded its analytics functions and language support, and strengthened tools to improve collaboration between data scientists, business analysts, data engineers and business personnel. Some of the key enhancements included expanding the native support for R and Python, extending the ability to execute a wide range of open-source analytics algorithms, and automatic generation of SQL from R and Python code....

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Preparation, Information Management, Data, AI and Machine Learning

        We are happy to share some insights about SAP drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Data, natural language processing, AI and Machine Learning

        There has been a lot of market activity around vendors offering sales-forecasting products (or functionality to address sales forecasting) as part of a wider technology offering for sales and revenue management. As I have discussed in my Analyst Perspective: The Art and Science of Sales from the Inside Out, the pandemic accelerated the prior trends that are now forcing sales leaders and sales teams to reexamine traditional notions of how B2B sales are conducted. In addition, with the rise of...

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        Topics: Sales, Office of Finance, Analytics, Business Planning, Sales Performance Management, Price and Revenue Management, AI and Machine Learning

        We are happy to share some insights about Board International drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about Yellowfin drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        As laid out in my recent Analyst Perspective, Revenue Management: The Opportunity for Innovation and Optimization, revenue management is a new way look at generating and managing the top line. It unifies multiple sources: the traditional focus on new customers to existing customers as well as all types of revenue from new, additional channels. This could include customer retention, upsell and cross sell, in addition to other selling channels such as through partners or digital sales channels...

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        Topics: Sales, Analytics, Sales Performance Management (SPM), Price and Revenue Management, Digital Commerce, Subscription Management, AI and Machine Learning

        We are happy to share some insights about Domo drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about Oracle Analytics Cloud drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, AI and Machine Learning

        We are happy to share some insights about Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Data, Information Management (IM), natural language processing, AI and Machine Learning

        We are happy to share some insights about Information Builders’ WebFOCUS Business Intelligence and Analytics Platform drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about MicroStrategy drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Data, natural language processing, AI and Machine Learning

        We are happy to share some insights about IBM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Information Management, natural language processing, AI and Machine Learning

        Customer service and support (CSS) is a term with two meanings. Most generally, it refers to the functions of a contact center in handling post-sales customer inquiries that require some effort or action on the part of the business. More specifically, it refers to the elements of the software stack that facilitate those operations, primarily case tracking and trouble ticketing.

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        Topics: Customer Experience, Analytics, Contact Center, agent management, AI and Machine Learning

        Alation recently announced the release of its 2021.1 version, introducing new data governance capabilities, enhancements in search and discovery through data domains, and extended connector and query coverage for data sources. Alation’s new federated authentication enables users to query cloud services such as Amazon Web Services, Snowflake, Tableau and more, using a single sign-on. The release also includes a Search application programming interface that allows for the integration of Alation...

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        Topics: Analytics, Business Intelligence, Collaboration, Data Preparation, Data, Information Management (IM), AI and Machine Learning

        Unit4’s Financial Planning and Analysis (formerly Prevero) is a planning and budgeting application designed for the requirements of midsize corporations and the public sector. These organizations are challenged in buying software because they have almost all the requirements of larger enterprises but have a smaller budget and limited technical resources.

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        Topics: Office of Finance, embedded analytics, Analytics, Business Intelligence, Business Planning, Financial Performance Management, Price and Revenue Management, Digital Technology, ERP and Continuous Accounting, Predictive Planning, collaborative computing, AI and Machine Learning

        Observed both here and elsewhere, average sales quota attainments appear to be in an exorable decline. As I discussed in my recent Analyst Perspective, "The Art and Science of Sales from the 'Inside Out'," vendors of sales technology have reacted to this by adding a slew of new functionality including the potential for artificial intelligence (AI) to be a game changer for sales. One can argue that this use of AI is still relatively immature having been generally available only since 2014, but...

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        Topics: Sales, Human Capital Management, Analytics, Business Intelligence, Sales Performance Management, candidate engagement, sales enablement, AI and Machine Learning

        Machine learning is valuable for organizations, but it can be hard to deploy. Our Machine Learning Dynamic Insights research identifies that not having enough skilled resources and difficulty building and maintaining ML systems are pressing challenges organizations face in applying ML. Traditional ML model development is resource-intensive, requiring significant domain knowledge and time to produce and compare dozens of models. And as the number of ML models grow, their management becomes...

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Data, AI and Machine Learning

        As I have discussed in my Analyst Perspective, The Art of Sales, from the Inside Out, the challenges facing direct sales leaders are not going away. Declining quota attainment, lack of visibility into deal health and difficulty in forecasting quarterly sales remain a challenge for sales leaders, resulting in a continuing reduction in duration of tenure.

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        Topics: Sales, Analytics, Sales Performance Management, Price and Revenue Management, sales enablement, AI and Machine Learning

        Voice of the Customer (VoC) is a catch-all term that refers to the collection of customer feedback in various formats. Sometimes this feedback is in the form of quick surveys or reactions to questions like, "Did I resolve your issue today?" or "Would you recommend our service to a friend?" Alternatively, it can be derived from less specific but more numerous data signals that span multiple interactions or across a customer base. Most businesses make an effort to capture some customer feedback.

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        Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, agent management, AI and Machine Learning

        The amount of data flowing into organizations is growing exponentially, creating a need to process more data more quickly than ever before. Our Data Preparation Benchmark Research shows that accessing and preparing data continues to be the most time-consuming part of making data available for analysis. This can potentially slow down the organizational functions which depend on the analysis results. Trying to get ahead of the backlog with incremental improvements to existing approaches and...

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Data, Information Management (IM), data lakes

        Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end. Accessing and preparing data is the most common challenge organizations face in this process, and consequently, AI/ML vendors typically incorporate tools to address this part of the...

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        Topics: business intelligence, Analytics, Collaboration, Data Governance, Data Preparation, Data, AI and Machine Learning

        IBM Planning Analytics, formerly known as TM1, is a comprehensive planning and analytics application designed to integrate and streamline an organization’s planning processes. It can support multiple planning use cases on a single platform, including financial, headcount, sales and demand planning. The software automates enterprise-wide data collection to make it repeatable and scalable across multiple users and departments. It supports sophisticated driver-based modeling that enables rapid...

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        Topics: Office of Finance, embedded analytics, Analytics, Business Intelligence, Collaboration, Business Planning, ERP and Continuous Accounting, Predictive Planning, AI and Machine Learning

        Process-mining software isn’t exactly new, but it’s also not widely known in the software technology market. The discipline has been around for at least a decade, but is generating more interest these days with both specialist vendors and major enterprise software vendors offering process-mining products and services. We assert that through 2022, 1 in 4 organizations will look to streamline their operations by exploring process mining.

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        Topics: business intelligence, Analytics, Digital Technology, AI and Machine Learning

        Digital commerce affects almost everyone’s lives. It is hard to remember a time when one could not sign on to a website like Amazon, order a product, pay for it and have it delivered to your front door within days, not weeks. Although catalogues have been around for a century or so, the digital-commerce revolution has changed the way we think about shopping for many of our everyday and special occasion products. Extend this to digital services, such as streaming videos or online games, and...

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        Topics: Sales, Customer Experience, Analytics, Business Intelligence, Product Information Management, Price and Revenue Management, Digital Commerce, AI and Machine Learning

        Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The goal is to understand how to manage the growing volume of data in real time, across all sources and platforms, and use it to inform, streamline and transform internal operations. Over the years, the adoption of cloud computing has gained momentum with more and more organizations trying to make use of applications, data, analytics...

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Information Management, Internet of Things, Data, natural language processing, AI and Machine Learning

        Having just completed the 2021 Ventana Research Value Index for Analytics and Data, I want to share some of my observations about how the market has advanced since our assessment two years ago. The analytics software market is quite mature and products from any of the vendors we assess can be used to effectively deliver information to help your organization improve its operations. However, it’s also interesting to see how much the market continues to advance and how much investment vendors...

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        Topics: Big Data, Key Performance Indictors, embedded analytics, exadata, Analytics, Business Collaboration, Business Intelligence, Collaboration, Data Preparation, Digital Technology, natural language processing, Conversational Computing, collaborative computing, mobile computing, AI and Machine Learning

        I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Data 2021 is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to analytics and data vendors...

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        Topics: Big Data, Analytics

        The pandemic accelerated several trends in the contact-center industry that were already underway, chiefly: moving infrastructure and software applications to the cloud, and rethinking the process of managing agents. One byproduct of these trends is a renewed look at the similarities between business-phone systems (also known as unified communications, or UC) and contact center systems (CC).

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        Topics: Customer Experience, Analytics, Collaboration, Contact Center, agent management, AI and Machine Learning

        There is no doubt that the pandemic has accelerated the existing need for new technology that can help sales professionals do their jobs well in this quickly evolving market. In addition, market trends are driving the need for functionality that is aimed at the front-line sales professional and the manager, highlighting the demand for tools that can help arrest the decline in quota attainment, as well as helping salespeople supplement their traditional focus on sales quotas with activities such...

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        Topics: Sales, embedded analytics, Analytics, Internet of Things, Sales Performance Management, natural language processing, sales enablement, AI and Machine Learning

        Organizations are increasingly using data as a strategic asset, which makes data services critical. Huge volumes of data need to be stored, managed, discovered and analyzed. Cloud computing and storage approaches provide enterprises with various capabilities to store and process their data in third-party data centers. The advent of data platforms previously discussed here are essential for organizations to effectively manage their data assets.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Lake, Data Preparation, Data, AI and Machine Learning, Microsoft Azure

        With modern enterprises adopting and expanding their digital business with subscription and usage business, organizations need to think beyond the primacy of sales as their source of business success. A sustained customer experience is key, representing an organizational and cultural shift from the traditional emphasis on new sales to an equally important focus on customer retention and upsell/cross-sell opportunities. This mindset is also important to organizations involved in digital commerce...

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        Topics: Sales, Marketing, Analytics, Product Information Management, Sales Performance Management, Financial Performance Management, Price and Revenue Management, Digital Commerce, Subscription Management

        Verint has recently separated into two companies, one of which is a dedicated provider of software focused on customer engagement and will keep the Verint name. (The other is called Cognyte and focused on security analytics.)

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        Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, agent management

        The current pandemic has disrupted many of the traditional sales methods used by field-sales organizations to engage, and sell to, buyers. In an effort to provide help, many vendors have recently announced new features that focus less on the management of sales organizations and more on tools to help salespeople sell. This has been coupled with a renewed interest in using data to help with the science, alongside the art, of selling, as referenced in my AP: The Art and Science of Sales from the...

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        Topics: Sales, Analytics, Data, Product Information Management, Sales Performance Management (SPM), Digital Technology, sales enablement, AI and Machine Learning

        Ventana Research recently announced its 2021 research agenda for the Office of Sales, continuing the guidance we’ve offered for nearly two decades to help organizations realize optimal value from applying technology to improve business outcomes. Chief sales and revenue officers are experts in their respective fields but may not have the guidance needed to employ technology effectively. As we look to 2021, we are focusing on the entire selling and buying journey and the applications that...

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        Topics: Sales, Analytics, Financial Performance, Internet of Things, Data, Sales Performance Management, Digital Technology, Digital Commerce, mobile computing, Subscription Management, extended reality, intelligent sales, partner management, Machine Conversational Computing, Office of Revenue, AI and Machine Learning

        I’m proud to share Ventana Research’s 2021 market agenda for digital technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that increase workforce effectiveness and organizational agility, ensuring ongoing operation during any type of disruption.

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        Topics: Big Data, Analytics, Cloud Computing, Internet of Things, Digital Technology, Robotic Process Automation, blockchain, Conversational Computing, mobile computing, extended reality, AI and Machine Learning

        Ventana Research recently announced its 2021 market agenda in the expertise area of Customer Experience. Most organizations have some degree of focus on managing how they interact with their customers, but it is often a disjointed and constrained process. Developing an effective customer experience has become an investment priority in recent years as organizations increasingly recognize the importance of good experiences to profitability, customer longevity and advocacy on behalf of brands.

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        Topics: Sales, Customer Experience, Marketing, Voice of the Customer, Analytics, Customer Service, Contact Center, Workforce Management, Digital Marketing, Digital Commerce, agent management, AI and Machine Learning

        Ventana Research recently announced its 2021 market agenda for Analytics, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

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        Topics: embedded analytics, Analytics, Business Intelligence, natural language processing, Process Mining, Streaming Analytics, AI and Machine Learning

        Ventana Research has announced its market agenda for 2021, continuing the tradition of transparency in our efforts to educate and guide the technology market but also our independence as we do not share our market agenda or analyst perspectives with any external party. Each year, we proudly formulate our market agenda that is not biased by clients or the technology industry, focusing on education rather than the prospect of consulting or software revenue. We review and refine our plan...

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        Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Analytics, Data, Digital Technology, Operations & Supply Chain, Office of Revenue

        The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). There is more data available to analyze. Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications. Organizations are realizing the value that AI/ML provides and there are now millions of professionals with AI or ML in their title or job description. AI/ML is even being used to make many aspects of itself easier. Organizations that...

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        Topics: Sales, Customer Experience, Marketing, Analytics, Business Intelligence, Data Preparation, Digital Technology, AI and Machine Learning

        Data is becoming more valuable and more important to organizations. At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly. Without data integrity, organizations cannot trust the information produced by their data processes, and will be discouraged from using that data, resulting in inefficiencies and reduced effectiveness.

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        Topics: business intelligence, Analytics, Data Governance, Data Preparation, Information Management, Data, data lakes

        Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data. Our research shows that nearly three-quarters of organizations deploy both data lakes and data warehouses but are using a variety of approaches which can be cumbersome. A single platform that can...

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        Topics: PROS Pricing, embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, data lakes, AI and Machine Learning

        Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy. The necessary tools are often separate, but our research shows organizations prefer an integrated environment. In our Data Preparation Benchmark Research, we found that 41% of participants use Analytics and Business Intelligence tools for data preparation.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Preparation, Information Management, Internet of Things, Data, Digital Technology, natural language processing, Conversational Computing, AI and Machine Learning

        Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data. Big data architectures have attempted to solve the problem with large pools of cost-effective storage, but in doing so have often created on-premises management and administration challenges. These challenges of acquiring, installing and maintaining large clusters of computing resources gave rise...

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Data, data lakes, AI and Machine Learning

        Organizations are always looking to improve their ability to use data and AI to gain meaningful and actionable insights into their operations, services and customer needs. But unlocking value from data requires multiple analytics workloads, data science tools and machine learning algorithms to run against the same diverse data sets. Organizations still struggle with limited data visibility and insufficient insights, which are often caused by a multitude of reasons such as analytic workloads...

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Data, Information Management (IM), data lakes, AI and Machine Learning

        Teradata is not a name that is commonly associated with the customer experience marketplace, but that is likely to change as customer experience (CX) practitioners wrestle with the problems created by the multiple streams of data thrown off by the many applications and customer touchpoints they have to manage. Teradata’s Vantage CX is a tool for ingesting and managing customer information at great scale, combining the functions of a modern CDP with the analytics that makes customer data...

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        Topics: Customer Experience, Marketing, Analytics, Business Intelligence, Contact Center, Data, Digital Marketing, Digital Commerce, intelligent marketing, AI and Machine Learning

        Although historically there has been a hard divide between what are colloquially called “Inside and Field Sales,” changes over the last 10 years have narrowed the distinction. The pandemic has only accelerated the path to unifying sales activities commonly performed to engage buyers and customers. Characterized by a very disciplined and controlled endeavor, inside sales teams have been heavier users of technology. This has enabled more productive engagement including emails and calls, as well...

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        Topics: Sales, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Sales Performance Management (SPM), natural language processing, intelligent sales, sales enablement, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance business and IT.

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        Topics: Analytics, Collaboration, Data Governance, Data Lake, Data Preparation, IOT, Data, Information Management (IM), Digital Technology, blockchain, Conversational Computing, collaborative computing, mobile computing, extended reality, AI and Machine Learning

        Determining and providing the appropriate compensation for each person — whether it involves base pay, variable pay such as commissions or bonuses or longer-term incentives in the form of cash or equity or other rewards — is critical to being able to attract and retain productive members of the workforce, whether full- or part-time employees, contingent workers or contractors. The complexities of compensation often prove to be a core challenge for human resources departments as they strive to...

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        Topics: Analytics, collaborative computing, total rewards management, AI and Machine Learning

        Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses. As I continue my evaluation of analytics and data vendors, I have to admit some disappointment at the level of collaborative capabilities some analytics vendors provide. To be fair, the level of capabilities vary widely, but I expected collaborative capabilities to be more uniformly available as a standard...

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        Topics: business intelligence, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Data, Digital Technology, collaborative computing

        The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance business and IT.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Digital Technology, natural language processing, Conversational Computing, collaborative computing, mobile computing, AI and Machine Learning

        This has been a dramatic year for contact centers. The underlying technology has been changing for some time, but that change is now accelerating because of the urgent operational shifts forced by the pandemic. When you can’t gather dozens or hundreds of people into a single, open-plan site, you must look at alternative models for staffing and interaction handling. You must also work harder to create positive customer experiences across multiple contact channels.

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        Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, Product Information Management, Digital Commerce, Subscription Management, agent management, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance business and IT.

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        Topics: Sales, Marketing, embedded analytics, Analytics, Sales Performance Management, Digital Technology, intelligent marketing, sales enablement, AI and Machine Learning

        The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance business and IT.

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        Topics: Customer Experience, Human Capital Management, Marketing, Analytics, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, Operations & Supply Chain, blockchain, employee experience, candidate engagement, Conversational Computing, collaborative computing, mobile computing, agent management, extended reality, business digital commerce, work experience management, AI and Machine Learning

        Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. Our methodology for these assessments is referred to as a Value Index. We use weightings derived from our benchmark research about how you, as buyers of these technologies, value and evaluate vendors. You can view our 2019 Value Index results here. I am in the process of completing the 2020 evaluation now.

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, natural language processing, Conversational Computing, collaborative computing, AI and Machine Learning

        The last decade has seen exponential growth amongst subscription-based business models. Pioneered in the B2C market with cloud-based SaaS offerings, the last decade has seen exponential growth in the share of the economy that is now subscription based. Increasingly, this modern business model is permeating throughout more traditional style industries and companies. But regardless of whether a company is natively subscription based, or is transitioning, maintaining this growth requires...

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        Topics: Sales, Customer Experience, Office of Finance, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Contact Center, Product Information Management, Price and Revenue Management, Digital Commerce, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, robotic finance, revenue and lease accounting, Subscription Management, agent management, intelligent sales, sales enablement, AI and Machine Learning

        An important recent development in software designed for the Office of Finance is the addition of what we’re calling a data aggregation device (DAD) for analytical applications. A DAD automates the collection of data from disparate sources using, for example, application programming interfaces (APIs) and robotic process automation (RPA). With a DAD, users of the analytical application have immediate access to a much broader data set; one that incorporates operational as well as financial data...

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        Topics: Office of Finance, Analytics, Business Intelligence, Data, Financial Performance Management, Price and Revenue Management, robotic finance, Predictive Planning, AI and Machine Learning

        Subscription-based business models have seen exponential growth over the last decade. The growth of this recurring revenue business model, where a subscriber commits to repeatedly pay for a good or device for a fixed or indefinite timeline, has been caused by the shift from the one-time selling of physical products to selling digital services on a subscription basis. The first phase of this transformation was led by “digitally native” organizations, typically B2C, that have only ever offered...

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        Topics: Sales, Customer Experience, Office of Finance, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Contact Center, Product Information Management, Price and Revenue Management, Digital Commerce, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, robotic finance, revenue and lease accounting, Subscription Management, agent management, intelligent sales, sales enablement, AI and Machine Learning

        I’m very excited to announce to my network as well as the ever-expanding Ventana Research community that I’m now directing Ventana Research’s Office of Sales practice. The focus is to guide and educate sales and business professionals on the selling applications and technology including digital commerce, price and revenue management, product information management, sales enablement, sales performance management and subscription management. While these are the main topics of our Office of Sales...

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        Topics: Sales, embedded analytics, Analytics, Business Intelligence, Collaboration, Data, Product Information Management, Sales Performance Management, Price and Revenue Management, Digital Technology, Work and Resource Management, Conversational Computing, collaborative computing, mobile computing, intelligent sales, sales enablement, AI and Machine Learning

        One of the challenges of being a practically minded technology analyst is squaring the importance of “the next big thing” with the reality of what most organizations are doing. For decades it’s been the case that “the next big thing” in the world of information technology is easily several years ahead of where most organizations are in their use of technology. And before most organizations can realize the benefit of some whiz-bang technology, they frequently need to address a range of more...

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        Topics: Human Capital Management, Marketing, Office of Finance, Analytics, Business Intelligence, Sales Performance Management, Financial Performance Management, Price and Revenue Management, Digital Marketing, Work and Resource Management, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, robotic finance, Predictive Planning, revenue and lease accounting, Subscription Management, intelligent sales, AI and Machine Learning

        Economic dynamics and market pressures during a black-swan event can wreak havoc on efforts to effectively manage revenue operations and pricing for business continuity. For many organizations, environmental changes disrupt the methods by which these essential business processes are managed can be disrupted, damaging the revenue streams that create profitability. The array of pricing strategies and related promotional tactics across channels for configure, price and quote (CPQ), digital...

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        Topics: Sales, Customer Experience, Human Capital Management, Marketing, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Product Information Management, Sales Performance Management, Workforce Management, Workforce Planning, Price and Revenue Management, Total Compensation Management, Conversational Computing

        Over the past several months, I have discussed a wide range of topics that organizations must consider and appropriately prioritize to maintain business continuity during periods of upheaval. But sometimes it’s important to take a step back and reflect on a critical and recurring theme: experiences. The array of experiences across the workforce and business processes both inside and outside of the organization are an essential part of an organization’s success. Leadership must give these...

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        Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Sales Performance Management, Workforce Management, Workforce Planning, Operations & Supply Chain, Total Compensation Management, Conversational Computing

        Business planning is an essential part of an organization’s focus on its future performance and overall potential because it ensures continuous operations, even in black-swan events. Planning across the entire organization needs to be a critical priority and leadership should give it the attention it deserves. In challenging times, a focus on execution tends to take hold — this is not unreasonable but in focusing on satisfying immediate customer and workforce needs and putting out fires,...

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        Topics: Sales, Human Capital Management, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, Total Compensation Management, Predictive Planning, Conversational Computing

        The workforce is an essential part of an organization’s overall business potential because it ensures continuous operations, even in black-swan events. The workforce is the core of the organization and should get the attention it deserves. In challenging times, a “customer-first” mentality tends to take hold — this is not unreasonable but in focusing on satisfying customers and opportunities, business leaders too often forget that the workforce experience is essential to achieving desired...

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        Topics: Sales, Customer Experience, Human Capital Management, Office of Finance, Voice of the Customer, Continuous Planning, Business Continuity, Analytics, Business Planning, Workforce Analytics, Workforce Management, Digital Technology, Operations & Supply Chain, Robotic Process Automation, employee experience, Conversational Computing, collaborative computing, mobile computing, agent management, People Analytics, AI and Machine Learning

        Analytics and data provide visibility into an organization’s past, present and potential performance. However, not all organizations are using analytics that provide timely insights — insights that not just reflect what happen but direct a successful course for the future. Demand for personalized and relevant insight only intensifies in a black-swan event. To maintain business continuity in times of pressure, it is critical that organizations not waste any time or resources when using analytics...

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        Topics: business intelligence, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Data, Digital Technology, natural language processing, Conversational Computing, AI and Machine Learning

        Marketing is inextricably linked to business success, and digital technology is essential to an organization’s overall marketing potential because it generates interest and brand awareness. In a black-swan event, the marketing department often is overwhelmed by short-term demands, so in these situations it’s of the essence that digital transformation gets the attention it deserves. In challenging times, a “putting-out-fires” mentality tends to take hold — this is not unreasonable but in...

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        Topics: Sales, Customer Experience, Marketing, Office of Finance, Voice of the Customer, Analytics, Data, Product Information Management, Digital Technology, Operations & Supply Chain, Conversational Computing

        Contact centers play a substantial role in an organization’s success. The customer journey is engaged here, at each moment of interaction. Agents, whether human or machine-driven, are intrinsic to the customer experience and the value of the contact center. Customers are essential to an organizations’ overall business potential because they generate revenue. In a black-swan event, demand for customer service may spike or dip, so in these situations it’s of the essence that agents get the...

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        Topics: Sales, Customer Experience, Marketing, Office of Finance, Voice of the Customer, Analytics, Data, Product Information Management, Digital Technology, Operations & Supply Chain, Conversational Computing

        Subscriptions are the future of business. Subscribers are essential to an organization’s overall business potential because they generate recurring revenue. In a black-swan event, demand for a subscription may spike or dip, so in these situations it’s of the essence that subscriptions get the attention they deserve. In challenging times, a “subscriber-first” mentality tends to take hold — this is not unreasonable but in focusing on satisfying subscribers, business leaders too often forget that...

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        Topics: Sales, Customer Experience, Marketing, Office of Finance, Voice of the Customer, Analytics, Data, Product Information Management, Digital Technology, Operations & Supply Chain, Subscription Billing, Conversational Computing, Subscription Management, Subscriber Experience

        Partners play a key role in the revenue and growth of every organization. Whether channel selling is in assistance to internal sales or independent, what happens in partnering has ramifications that are simply too important to underestimate. The imperative to maintain business continuity with channel partners becomes painfully clear in a global pandemic, and that imperative demands that organizations cultivate partner excellence and channel performance. This effort should start with partner...

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        Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Analytics, Internet of Things, Data, Digital Technology, Operations & Supply Chain, Conversational Computing, partner management, Partner Experience

        Products and services are the foundation of every organization, regardless of its industry or size. Products are essential to an organization’s overall business health because they generate revenue and engage buyers and customers. In a black-swan event, demand for a product may spike or dip, so in these situations it’s of the essence that products get the attention they deserve as they are marketed, sold, serviced and enhanced with innovations. In challenging times, a “customer-first” mentality...

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        Topics: Sales, Customer Experience, Marketing, Office of Finance, Voice of the Customer, Analytics, Data, Product Information Management, Digital Technology, Operations & Supply Chain, Conversational Computing, product experience management

        The workforce is the center of any organization, no matter if the workforce consists of employees, contractors or what we call gig workers. It stands to reason that a black-swan event has an immediate impact on a workforce and thus an organization’s overall business health. In challenging times, a “family-first” mentality tends to take hold — a reality that, far too often, business leaders and HR organizations underestimate. But organizational readiness is essential for sustainability and...

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        Topics: Sales, Human Capital Management, Learning, Office of Finance, Voice of the Customer, Analytics, Digital Technology, Digital Marketing, Operations & Supply Chain, Workforce Optimization, AI and Machine Learning

        Suppliers play a critical role in supporting the operations and processes of every organization. Whether direct or indirect, an organization’s relationship with its suppliers has ramifications that are perilous to underestimate. The imperative to maintain business continuity becomes painfully clear in a global pandemic, and that imperative demands that organizations cultivate excellent supplier relationships.

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        Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Analytics, Internet of Things, Data, Digital Technology, Operations & Supply Chain, Conversational Computing

        In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.

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        Topics: Big Data, Data Warehousing, Analytics, Business Analytics, Business Intelligence, Data Governance, Data Management, Data Preparation, data lakes

        Supercharging the customer experience (CX) is more than just an opportunity. It’s essential for every organization that looks to optimize engagement at every moment of the customer journey. In times such as these, when business continuity is a top priority, organizations must address the customer experience, especially if it has not been a focal point of the executive team.

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        Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, Operations & Supply Chain, Intelligent CX, Conversational Computing

        The imperative to infuse digital technology into your organization is not new, but it’s more essential than ever that organizations embrace digital transformation and business continuity to improve processes. I have recently written about the need for digital innovation in business continuity, outlining the steps every organization needs to take. These steps involve a close examination of the digital technology they can apply effectively for business continuity during a pandemic, natural...

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        Topics: Customer Experience, Human Capital Management, Office of Finance, Analytics, Data, Digital Technology

        Effectively managing data privacy and security is a high-stakes matter. When an organization doesn’t get it right, it often becomes front-page news and occasionally becomes a subject of litigation. Yet organizations face an equally challenging imperative to ensure that business users have easy access to the data they need. Depending on how they are implemented, data governance policies can inhibit access to data, making it harder to find and utilize the data assets of an organization.

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        Topics: Big Data, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things

        At Ventana Research we’re familiar with the need for digital transformation as we have been researching and providing education on this topic for almost two decades. And recent global challenges make even clearer the sea change at hand: digital innovation is essential for not only success, but survival. Business continuity during a pandemic, natural disaster, cyber event or geopolitical situation requires business and risk mitigation processes, but unfortunately very few organizations had been...

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        Topics: Sales, Customer Experience, HCM, Marketing, Office of Finance, Business Continuity, Analytics, Digital Technology

        Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line. One type of analysis an organization can perform using AI and ML is predictive analytics. Organizations also need to plan their operations to predict the amount of cash they will need, inventory levels and staffing...

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        Topics: Office of Finance, Analytics, Business Intelligence, Financial Performance Management, Digital Technology, Predictive Planning, AI and Machine Learning

        I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.

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        Topics: Analytics, Business Intelligence, Data Governance, Data Preparation, Data, Information Management (IM), Digital Technology, data lakes, AI and Machine Learning

        MicroStrategy recently held its annual user conference, which focused on the theme of the “Intelligent Enterprise.” HyperIntelligence, an innovative product for delivering analytics throughout organizations that they introduced a year ago, was the star of the event. The company announced enhancements to HyperIntelligence and the latest version of its flagship platform, MicroStrategy 2020, as well as a new two-tiered education and certification program.

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        Topics: Analytics, Business Intelligence, Collaboration, Data Governance, Data, Digital Technology, Conversational Computing

        Ventana Research recently announced its 2020 research agenda for analytics, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes.

        It’s been exciting to follow the emergence of innovative capabilities in the analytics market, but for businesses it can be challenging to stay on top of all these changes. To help, we craft our research agenda using our firm’s knowledge of technology...

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        Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, natural language processing, AI and Machine Learning

        Ventana Research recently announced its 2020 research agenda for digital technology, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. While we have seen more than four decades of digital transformation in the systems and tools businesses rely on, recent years have yielded transformative approaches to technology that can finally actually change the way people and processes work, rather than just make...

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        Topics: Analytics, Internet of Things, Data, Digital Technology, blockchain, Conversational Computing, collaborative computing, mobile computing, extended reality, AI and Machine Learning

        Kinaxis recently held its annual user conference, Kinexions, which focuses on helping the company’s customers improve their execution of supply chain and sales and operations planning (S&OP). Its RapidResponse software handles S&OP, demand, supply, inventory and capacity planning. S&OP is a function sorely in need of improvement: Our research finds that only 22 percent of companies perform it well or very well.

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        Topics: Continuous Planning, Analytics, Enterprise Resource Planning, continuous supply chain, business digital commerce, AI and Machine Learning

        Here are some insights on Incentive Solutions drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value Index on Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. We evaluated Incentive Solutions and eight other vendors in seven categories, five product-related adaptability, capability, manageability, reliability...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        Here are some insights on NICE drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value Index on Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. We evaluated NICE and eight other vendors in seven categories, five product-related adaptability, capability, manageability, reliability and usability) and two...

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        Topics: Sales, Customer Experience, Mobile Technology, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        Here are some insights on beqom drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value Index on Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. We evaluated beqom and eight other vendors in seven categories, five product-related adaptability, capability, manageability, reliability and usability) and two...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        Here are some insights on SAP drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value Index on Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. We evaluated SAP and eight other vendors in seven categories, five product-related adaptability, capability, manageability, reliability and usability) and two...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Financial Performance Management (FPM), Sales Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        Here are some insights on Optymyze drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value Index on Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. We evaluated Optymyze and eight other vendors in seven categories, five product-related adaptability, capability, manageability, reliability and usability) and two...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        Here are some insights on Anaplan drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value Index on Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. We evaluated Anaplan and eight other vendors in seven categories, five product-related adaptability, capability, manageability, reliability and usability) and two...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        With the backing of Great Hill Partners and Spectrum Equity, the company Varicent Software launched on Jan. 1st, purchasing IBM’s Sales Performance Management (SPM) assets and hiring employees from IBM’s SPM group. They will join a new team that includes Varicent’s original founders and key leadership.

        This set of insights is drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        Here are some insights on Xactly drawn from our latest Value Index research, which provides an analytic assessment of how well vendor offerings address buyers’ requirements. The Ventana Research Value Index on Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. We evaluated Xactly and eight other vendors in seven categories, five product-related adaptability, capability, manageability, reliability and usability) and two...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        For years I’ve viewed with skepticism the claim that one technology or another will reduce audit costs. For one, there’s rarely a silver bullet. An array of moving parts drive audit fees. For example, the complexity of the corporation, accounting data management and the audit staff’s familiarity with the industry and the company all affect the time auditors must spend. Also, most of the time I’ve found that achieving significant savings was not the result of going from good to great, but from...

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        Topics: Office of Finance, Analytics, Business Intelligence, Financial Performance Management, ERP and Continuous Accounting, robotic finance, AI and Machine Learning

        For interactions with customers to go well, organizations must manage an ever-increasing array of engagement channels. Our research finds that organizations expect to see interaction volumes increase on all channels, especially digital ones such as text-based messaging, chat, mobile and social apps. Unfortunately, the systems that manage these channels are typically disparate and uncoordinated and may not use the same underlying technology. This makes it difficult for organizations to...

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        Topics: Customer Experience, Voice of the Customer, business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, Subscription Management, agent management, extended reality, AI and Machine Learning

        The financial planning and analysis (FP&A) group is the linchpin of any transformation effort in the Office of Finance. Our recently completed Office of Finance benchmark research was conducted against the backdrop of the idea that finance organizations must play a more strategic role in the management of the modern organization. This transformation envisions a finance department that’s more of a partner to the rest of the company — one that is less focused on “bean counting,” instead directing...

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        Topics: Office of Finance, embedded analytics, Analytics, Financial Performance Management, robotic finance, Predictive Planning

        Using customer analytics effectively involves several challenges. Organizations must make it a business priority, cultivate leadership and set a course for ensuring data and analytics are being processed and governed effectively. But effectiveness also requires technology that will assist in the effective operations and management of customers and help an organization achieve its goals.

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        Topics: Customer Experience, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, extended reality, AI and Machine Learning

        I am happy to share some insights from our latest Value Index research, which rates how well vendors’ offerings meet buyers’ requirements in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). The Ventana Research Value Index: Sales Performance Management 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        Customer analytics have never been more important, but effectively creating and managing them is not easy. The data that’s required to achieve visibility into all customer activity involves many applications and systems and it’s a challenge to ensure the data used is accurate and consistent. Even once data is assembled, organizations often struggle to apply analytics to create the metrics that best represent an understanding of the past and, more importantly, the path to the future.

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        Topics: Customer Experience, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Lake, Data Preparation, Information Management, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, Intelligent CX, Conversational Computing, collaborative computing, Subscription Management, agent management, extended reality, AI and Machine Learning

        Ensuring that the sales organization contributes as fully as possible to the success of the organization — to revenue, growth, prof itability and the overall customer experience — requires not only dedication but effective strategy and planning. A well-developed strategy and plan to utilize current and future sales talent is essential for the best possible sales performance. To carry out this mission, organizations need a set of coordinated sales-related activities, processes and systems that...

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        Topics: Sales, Customer Experience, Office of Finance, Analytics, Contact Center, Data, Sales Performance Management, Financial Performance Management, Digital Technology, Digital Commerce, Predictive Planning, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, intelligent sales, AI and Machine Learning

        Today’s intense competition requires that companies know as much as they can about their customers in order to anticipate their needs and deliver a superior customer experience. However, many organizations struggle to do this well. Implementing initiatives to improve customer value across any department or process involving customers requires both in-depth visibility into current operations and excellent metrics.

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        Topics: Customer Experience, Voice of the Customer, business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Internet of Things, Contact Center, Data, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, extended reality, AI and Machine Learning

        The traditional office of finance has five main organs: accounting keeps the books; financial planning and analysis (FP&A) analyzes performance and manages the forward-looking activities of the company such as planning, budgeting and forecasting; corporate finance raises outside money; treasury takes care of the cash and bank accounts, and tax. The modern office of finance requires a sixth: Finance IT (FIT).

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        Topics: Office of Finance, Analytics, Financial Performance Management, Price and Revenue Management, Digital Technology, Operations & Supply Chain, ERP and Continuous Accounting, blockchain, robotic finance, Predictive Planning, Conversational Computing, revenue and lease accounting, collaborative computing, Subscription Management, AI and Machine Learning

        Having effective analytics enables businesses to understand far better than ever before the data they’re collecting, and to do so in greater volumes and more forms. These new capabilities are especially relevant to sales organizations. When applied to sales data, analytics can help sales teams achieve quotas and forecast more consistently, as well as understand the impacts of incentives and maximize the potential of territories, all of which help improve sales performance. These benefits...

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        Topics: Customer Experience, Voice of the Customer, business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, Subscription Management, agent management, AI and Machine Learning

        By itself, data isn’t useful for business; the application of analytics is necessary to transform data into actionable information. Data analysis of one sort or another has long been a core competence of finance departments, applied to balance sheets, income statements or cash flow statements. Today, however, Finance must go beyond these basics by expanding the scope of the data being examined to include all financial and operational information that can yield actionable insights. Analysis thus...

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        Topics: Customer Experience, Human Capital Management, Voice of the Customer, embedded analytics, Learning Management, Analytics, Business Intelligence, Collaboration, Data Governance, Data Lake, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Product Information Management, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Technology, Digital Marketing, Digital Commerce, ERP and Continuous Accounting, blockchain, natural language processing, robotic finance, Predictive Planning, candidate engagement, Intelligent CX, Conversational Computing, Continuous Payroll, revenue and lease accounting, collaborative computing, mobile computing, Subscription Management, total rewards management, intelligent marketing, intelligent sales, AI and Machine Learning

        We are happy to offer some insights on Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on Microsoft drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on Looker drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on Tableau drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on Oracle drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on Salesforce drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on SAS drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Digital Technology

        We are happy to offer some insights on Yellowfin drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to share some insight on Domo drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on SAP drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to share some insight on BOARD drawn from our Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to share some insights on Infor based on our latest market Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical...

        Read More

        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to share some insights about IBM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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        Topics: Data Science, Mobile, business intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on MicroStrategy drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on Mobile, Embedded and Collaborative capabilities. Because each is a critical...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        We are happy to offer some insights on Information Builders drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a...

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        Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Lake, Information Management, Internet of Things, Data, Digital Technology, AI and Machine Learning

        Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years.

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        Topics: Big Data, embedded analytics, Analytics, Data Integration, Data Management, Information Builders, IOT, Streaming Data, Information Builders Summit 2019

        Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Many of these announcements were centered on a key theme of a cloud and SaaS-first approach.

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        Topics: Big Data, Analytics, Cloud Computing, Data Integration, Data Management, Information Management, Qlik, Qlik Qonnections

        The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation means that virtually any appropriately designed device can generate and transmit data about its operations, which can facilitate monitoring and a range of automatic functions. To do this IoT requires a set of event-centered information and analytic processes that enable people to use that event information to make...

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        Topics: business intelligence, embedded analytics, Analytics, Collaboration, Internet of Things, Data, Information Management (IM), Digital Technology, data lakes, AI and Machine Learning

        Organizations now must store, process and use data of significantly greater volume and variety than in the past. These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.

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        Topics: Analytics, Business Intelligence, Data Governance, Data Preparation, Information Management, Internet of Things, Data, Digital Technology, blockchain, data lakes, AI and Machine Learning

        I am happy to share some insights gleaned from our latest Value Index research, which provides our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Collaborative Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, we apply a structured research methodology built on evaluation categories that are designed to reflect...

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        Topics: Analytics, Business Intelligence, Collaboration, Value Index

        Domopalooza 2019 marked the first annual user conference after Domo went public, but the energy, excitement and new feature announcements have not slowed. With thousands in attendance and growing fast, this year's conference focused on five key areas: digitization, real time connectivity, driving insight based actions, applying AI & machine learning, and building applications. All of these announcements are aimed at broadening the workloads supported by Domo.

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        Topics: Analytics, Business Intelligence, Collaboration, Data Integration, Data Management, Data Preparation, Domo

        About 10 years ago, social media tools like Facebook, Twitter and LinkedIn introduced a wave of collaborative analytics and BI capabilities. We saw chat streams associated with specific analyses that users could like or endorse. The number of contributions a user made to the community was part of his or her profile so others could accordingly weigh the importance of the input.

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        Topics: Analytics, Business Intelligence, Collaboration, Digital Technology

        I am happy to offer some insights on Qlik drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market andproduct research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

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        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to offer some insights on Microsoft drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

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        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to offer some insights on Looker drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

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        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology, looker

        I am happy to offer some insights on Tableau drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

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        Topics: Data Science, Tableau, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to offer some insights on Oracle drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluationcategories designed to reflect the breadth of the...

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        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Embedded Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, we apply a structured research methodology built on evaluation categories that...

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        Topics: Mobile, embedded analytics, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to offer some insights on Salesforce.com drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research effortsby Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

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        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        Analytics and business intelligence (BI) play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must not only access the data, generate and apply insights from analytics, and communicate the results, they also must ensure that the analytics are presented in a way that leads to action. One of the most effective ways to do this is to embed analytics into business...

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        Topics: embedded analytics, Analytics, Business Intelligence, Digital Technology

        Roughly half of my more than 30-year career in human capital management was spent as a line manager responsible for HR technology strategy, selection and deployment. I learned a number of lessons during these years — some just in time, some after the fact. If I had to identify one common thread that unites these insights, it would be that inadequate attention to change management is an ROI-killer on these strategic initiatives every time.

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        Topics: Human Capital Management, Learning Management, Analytics, Workforce Management, Digital Technology, Artificial intelligence, Total Compensation Management, Continuous Payroll

        I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Mobile Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, we apply a structured research methodology built on evaluation categories that...

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        Topics: Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        For analytics to be effective, they need to be available to line-of-business personnel as needed in their normal course of conducting business, which today means providing rich mobile access to analytics through phones and tablets to support a mobile workforce seeking to conduct business in any location at any time. Workers today expect these mobile capabilities, which means organizations must make choices to provide analytics and BI platforms that can deliver them.

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        Topics: Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to offer some insights on SAS drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world...

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        Topics: Data Science, SAS, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to offer some insights on Yellowfin drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

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        Topics: Data Science, Mobile Technology, business intelligence, Analytics, Cloud Computing, Collaboration, Yellowfin, Digital Technology

        I am happy to share some insight on Domo drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements.  The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world...

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        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Domo, Digital Technology

        MicroStrategy recently held their annual user conference, MicroStrategy World 2019. This year's conference brought 2,100 customer attendees plus partners to the Phoenix Convention Center in Phoenix, AZ. The big news of the event was the introduction of MicroStrategy HyperIntelligence™, a platform tool designed to directly inject analytics into business applications.

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        Topics: MicroStrategy, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, AI

        I am happy to offer some insights on SAP drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world...

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        Topics: Data Science, SAP, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to share some insight on BOARD drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

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        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology, BOARD International

        I am happy to share some insights on Infor based on our latest market Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

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        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Infor, Digital Technology, Infor Birst

        I am happy to share some insights about IBM drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

        Read More

        Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to offer some insights on MicroStrategy drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...

        Read More

        Topics: Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

        I am happy to offer some insights on Information Builders drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth...

        Read More

        Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology

        I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research, we apply a structured research methodology built on evaluation categories that are designed to...

        Read More

        Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology

        Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.

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        Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology

        IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation. This also includes a new conversational assistant to help generate narrative explanations of displays and interactive queries.For the full breakdown of IBM's Analytics University 2018,...

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        Topics: Big Data, Analytics, Business Intelligence, Data Preparation, AI, natural language processing

        This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete. For the full breakdown of Teradata's Analytics Universe 2018, and my analysis of all the largest announcements, watch my hot take video.

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        Topics: Big Data, Data Warehousing, Teradata, Analytics, Data Governance, Data Management, Data Preparation, Information Management, Data, Digital Technology

        In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event, the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. The change was subtle: The location was the same; the exhibitors were largely the same; attendance was similar this year...

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        Topics: Big Data, Data Science, Machine Learning, Analytics, Business Intelligence, Data Governance, Data Integration, Data Preparation, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing

        All too often, software vendors view analytics as the end rather than the beginning of a process. I’m reminded of some of the advanced math classes I’ve taken in which the teaching process focused on a few key aspects of a mathematical proof or solution, leaving the rest of the exercise to be worked out by the students. In other contexts, you may hear people say the numbers speak for themselves.

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        Topics: Data Science, Machine Learning, business intelligence, Analytics, Collaboration, Data Governance, Information Optimization, Digital Technology, collaboration for business

        PROS Holdings is a software vendor with two distinct but related sets of products. The company began in 1985 offering revenue management software to airlines, hospitality and rental car companies. More recently it added price and revenue management software focusing on B2B services, chemicals and energy, consumer goods manufacturers, food and beverage, healthcare, insurance and technology. This note focuses on the B2B portion of the business.

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        Topics: Big Data, Sales, Customer Experience, Marketing, Office of Finance, Analytics, Data Preparation, Sales Performance Management, Financial Performance Management, Price and Revenue Management, Digital Marketing, Digital Commerce, Pricing and Promotion Management, Sales Enablement and Execution

        Was accounting ever cool? Well, yes, in a nerdy sort of way. Double-entry bookkeeping, codified in the 15th century by Fra Luca Pacioli, a Franciscan friar and pal of Leonardo Da Vinci, was essential for the expansion of trade and the creation of the modern corporation. Bookkeeping and accounting were as important to economic development as two other financial inventions – insurance and fractional reserve banking. Double-entry bookkeeping is an elegant system, simple yet powerful. It supports...

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        Topics: Big Data, Office of Finance, Continuous Planning, business intelligence, Analytics, Financial Performance Management, Enterprise Resource Planning, ERP and Continuous Accounting

        Employee engagement has been a dominant theme in both human capital management (HCM) and the systems to manage it in recent years; lately (though not necessarily appropriately) it is a topic often equated with the notion of the employee experience. On a related point, Gallup’s annual employee engagement survey has consistently found the majority of today’s workforce to be disengaged, defined as “not enthusiastic or passionate about their work.” Interest in the degree to which HCM technology can...

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        Topics: Big Data, Data Science, Human Capital Management, Machine Learning, Learning Management, Analytics, Business Intelligence, Cloud Computing, Collaboration, HRMS, Workforce Management, Digital Technology, Workforce Optimization

        We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.

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        Topics: Big Data, Data Science, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business

        Blockchains are attractive because their built-in security and trust factors make them useful for almost all business interactions involving organizations and individuals. Blockchains have two basic functions. One is as a method for handling transactions involving property such as land deeds, trademarks or other assets. The second involves exchanges of data such as identities of individuals or businesses, the location of an object at a point in time or weather conditions. All interactions...

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        Topics: Big Data, Data Science, Mobile, Marketing Performance Management, Office of Finance, business intelligence, Analytics, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain

        We are have arrived at the May 25, 2018 date when the European Union’s General Data Privacy Regulations (GDPR) become enforceable, following what has been a two-year transition period. Companies were given this time to put in place reasonable measures and the systems necessary to support the legislation’s wide-ranging personal data privacy requirements, which apply to any organization with more than 250 employees that serves EU citizens. While this regulation will apply in the EU, it has...

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        Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Marketing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Digital Technology, Digital Marketing, Digital Commerce, Cybersecurity, Billing and Recurring Revenue, collaboration for business, mobile marketing

        Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.

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        Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Human Capital Management, Machine Learning, Marketing, Marketing Performance Management, Mobile Technology, Office of Finance, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Product Information Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Machine Learning and Cognitive Computing, Pricing and Promotion Management, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business, mobile marketing

        OneStream XF from OneStream Software is a financial performance management (FPM) platform available on-premises or in the cloud. The company is a relative newcomer (it started in 2010) but its founders are industry veterans and it has a long list of referenceable customers. Being self-financed, it only recently began to raise its market profile. Its SmartCPM system consists of software for statutory financial consolidation, planning, forecasting, budgeting and reporting that’s used primarily by...

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        Topics: Office of Finance, Continuous Planning, Analytics, HRMS, Financial Performance Management, ERP and Continuous Accounting, Sales Planning and Analytics

        The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its...

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        Topics: Planning, Predictive Analytics, Forecast, FP&A, Machine Learning, Reporting, budget, Budgeting, Continuous Planning, Analytics, Data Management, Cognitive Computing, Integrated Business Planning, AI, forecasting, consolidating

        We at Ventana Research recently published our research agendas for 2018. Analytics and business intelligence are evolving and so is our research on their use across practice areas. Earlier research has shown that analytics can deliver significant value to organizations; for example, our predictive analytics research shows that 57 percent of organizations reported achieving a competitive advantage and half created new revenue opportunities with predictive analytics. Waves of investment in...

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        Topics: Machine Learning, Analytics, Business Intelligence, Collaboration, Internet of Things, IOT, Artificial intelligence, natural language processing, Natural Language Generation

        Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially reduce finance and accounting workloads by automating most of the mechanical, rote functions in...

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        Topics: Planning, Predictive Analytics, Forecast, FP&A, Machine Learning, Reporting, budget, Budgeting, Continuous Planning, Analytics, Data Management, Cognitive Computing, Integrated Business Planning, AI

        Ventana Research recently published the findings of our benchmark research on Data Preparation, which examines the practices organizations use to accomplish data preparation. We view data preparation as a sequence of steps: identifying, locating and then accessing the data; aggregating data from different sources; and enriching, transforming and cleaning it to create a single uniform data set. Using data to accomplish organizational goals requires that it be prepared for use; to do this job...

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        Topics: Big Data, Analytics, Data Preparation

        I recently attended SAP TechEd in Las Vegas to hear the latest from the company regarding its analytics and business intelligence offerings as well as its data management platform. The company used the event to launch SAP Data Hub and made several other data and analytics announcements that I’ll cover below.

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        Topics: Big Data, SAP, Machine Learning, Analytics, Data Preparation, SAP TechEd

        Prophix is an established provider of financial performance management (FPM) software for planning and budgeting, forecasting, analysis and reporting, and managing the financial close and consolidation process. Its eponymous software is designed specifically for midsize companies or midsize divisions of larger corporations. These organizations are a distinctive segment of the market in that they have almost all the functional requirements of large enterprises but have fewer resources to apply...

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        Topics: Planning, Office of Finance, Reporting, Budgeting, Consolidation, Continuous Planning, Analytics, Business Intelligence, Collaboration, Financial Performance Management, Integrated Business Planning, accounting close, Price and Revenue Management, Work and Resource Management, Sales Planning and Analytics

        I’m thrilled to announce to my HCM vendor and practitioner network as well as the ever-expanding Ventana Research community that I’m now directing Ventana’s HCM practice. I will be working closely with our CEO and Chief Research Officer Mark Smith, who is a fellow HCM enthusiast and thought leader.

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        Topics: Big Data, Data Science, Mobile, Human Capital Management, Machine Learning, Learning Management, Analytics, Cloud Computing, Collaboration, Internet of Things, HRMS, Workforce Management, Payroll Optimization, Customer Digital Technology

        From my perspective, supply chain management (SCM) and sales and operations planning (S&OP) are two of the most underappreciated disciplines of modern corporate management. Properly applied, they can improve performance and competitiveness by increasing customer satisfaction and reducing costs. A combination of more capable information technology with advances in operations research and analytics has made managing supply and demand chains potentially more impactful by making them more flexible...

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        Topics: ERP, Kinaxis, Supply Chain Planning, Analytics, SCM, S&OP, Sales and Operations Planning, warehouse management, purchasing, inventory management

        The Strata Data Conference is changing and it’s changing in a good way. At the recentStrata Data Conference in New York, Mike Olson, chief strategy officer atCloudera, which co-sponsored the event, commented that at prior events we used to talk about the “Hadoop zoo animals,” meaning the various components of the Hadoop ecosystem of which I havewritten previously. Following last fall’s Strata event,I observed that the conference was evolving to focus on the use of data. Advancing that...

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        Topics: Big Data, Machine Learning, Analytics, Hadoop, Artificial intelligence

        There’s been some speculation in the market that Hadoop may be disappearing. Some of this speculation has been driven by vendors that have recently downplayed Hadoop in their marketing efforts. For example, the Strata+Hadoop World conference is now known as the Strata Data Conference. The Hadoop Summit is now known as the Dataworks Summit. In Cloudera’s S-1 filing with the SEC for its initial public offering, the term “Hadoop” appears only 14 times, while the term “machine learning” appears 83...

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        Topics: Big Data, Analytics, Hadoop

        The application of artificial intelligence (AI) and machine learning (ML) to business computing will have a profound impact on white collar professions. This is especially true in heavily rules-based functions such as accounting. Companies recognize the transformational potential of AI and ML, but the progression and pace of the adoption of these technologies is unclear. Some applications of AI and ML are already in use but others are a decade or more away from replacing human tasks.

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        Topics: Big Data, Machine Learning, Office of Finance, Analytics, CFO, finance, CEO, AI, accountants, NLP, Accounting

        In 2016 Unit4 acquired Prevero, a financial performance management software company. The acquisition reflects a trend toward the convergence of transactional and analytical business applications. ERP and financial management software vendors increasingly are adding analytic capabilities – especially in financial performance management (FPM) – to the core functions of transaction processing and accounting in order to broaden the scope of their offerings. The integration of transaction processing...

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        Topics: Marketing, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Workforce Management, Financial Performance Management, FPM, Work and Resource Management, Operations & Supply Chain, Sales Planning and Analytics

        Recently Hortonworks announced some significant additions to its products at the DataWorks Summit. These additions reflect the fact that the big data market continues to evolve, as I have previously written.

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        Topics: Big Data, Machine Learning, Analytics

        Centage recently released Budget Maestro Version 9, a complete revamping of its longstanding budgeting application designed for midsize companies. The software, now offered as a multitenant cloud-based offering, delivers several structural improvements that can enhance the effectiveness of a company’s planning processes and at the same time is easier to use. Budget Maestro Version 9 is designed to support what Centage is calling a “Smart Budgets” approach to replace traditional budgeting. This...

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        Topics: Planning, Reporting, Budgeting, Consolidation, Analytics, Business Planning, headcount planning

        Natural language generation (NLG), the process of generating text or narratives based on a set of data values, can reach a broader audience. NLG narratives can be used for a variety of purposes, but in this perspective I focus on how NLG can be used to enhance business intelligence (BI) processes. In the case of BI, NLG can be used to explain what has happened and why it is happening, and even what actions to take. The NLG narratives can be understood by a broader range of business users than...

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        Topics: Machine Learning, Natural Language, Analytics, Business Intelligence

        Many organizations continue to struggle with preparing data for use in operational and analytical processes. We see these issues reported in our Data and Analytics in the Cloud benchmark research, where 55 percent of organizations identify data preparation as the most time-consuming task in their analytical processes.  Similarly, in our Next-Generation Predictive Analytics research, 62 percent of companies report that they’re unsatisfied because data needed for access or integration is not...

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        Topics: Analytics, Collaboration, Data Preparation, Datawatch

        Longview recently completed the acquisition of Tidemark Systems, a planning software vendor. Longview Plan powered by Tidemark is a suite of cloud-based applications that enable corporations to plan, assess performance and communicate results more effectively. The software facilitates what Ventana Research calls “continuous planning.” This is a highly collaborative, action-oriented approach to planning that relies on frequent, short cycles to rapidly create and update integrated company-wide...

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        Topics: Mobile, Office of Finance, Recurring Revenue, Continuous Planning, Analytics, Business Intelligence, Financial Performance Management, Price and Revenue Management, ERP and Continuous Accounting, Sales Planning and Analytics

        This is my second analyst perspective based on our IoT Benchmark Research. In the first, I discussed the business focus of IoT applications and some of the challenges organizations are facing. Now I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects.

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        Topics: Big Data, Analytics, Business Intelligence, IOT, NoSQL

        If we look at the focus of technology vendors for analytics and business intelligence or business applications providers deploying these capabilities in the last five years, we see that they have elevated the importance on the value of visualization and dashboards. These promotions might be understandable, but will they make business and the people using them more intelligent?

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        Topics: Big Data, Data Science, Mobile, Machine Learning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing

        More than a year ago I wrote from personal experience about the challenges our firm encountered with Salesforce’s cloud computing systems and customer service and if we can trust them for business in the cloud. That perspective covered a range of issues that the behemoth cloud computing applications and platform company is facing regarding its service and technology. While Salesforce has shifted its customers like us and others to a different cloud computing environment, as it did in moving us...

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        Topics: Big Data, Sales, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Sales Planning and Analytics

        This year various types of organizations are embracing machine learning like it is going out of style – or maybe it would be better to say coming into style. And now with a little investigation on LinkedIn finds over half million professionals with machine learning in their job title. Machine learning is the application of specific data science algorithms that become more accurate as the system records more outcomes and processes more data. This improvement is referred to as “learning,” hence...

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        Topics: Big Data, Data Science, Analytics, Business Intelligence, Cloud Computing, Machine Learning and Cognitive Computing, Machine Learning Digital Technology

        Ventana Research defines financial performance management (FPM) as the process of addressing the often overlapping people, process, information and technology issues that affect how well finance departments operate and support the activities of the rest of their organization. FPM deals with the full cycle of finance department activities, which include planning and budgeting, analysis, assessment and review, closing and consolidation, internal financial reporting and external financial...

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        Topics: Mobile, Human Capital Management, Office of Finance, Recurring Revenue, Continuous Planning, Analytics, Business Intelligence, Financial Performance Management, Price and Revenue Management, ERP and Continuous Accounting, Sales Planning and Analytics

        Informatica reintroduced itself to the world at its recent customer conference, Informatica World, in San Francisco. The company took advantage of the event to showcase its new branding in an effort to change the way customers think about the company. Informatica has been providing information services in the cloud for more than a decade. Even though cloud revenue comprises a minority of Informatica’s business, in absolute terms, the revenue is significant, and company executives want the...

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        Topics: Big Data, Data Science, Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data Preparation, Information Optimization, Machine Learning and Cognitive Computing, Machine Learning Digital Technology

        I recently attended the MicroStrategy World conference, which was held in Washington, D.C. and it celebrate its 20th anniversary, which is why MicroStrategy hosted the event near its headquarters. Over the past 20 years, the market and technology for business intelligence and analytics have significantly changed, and in several changes, MicroStrategy has been at the forefront. Now is a good time to examine the company’s position in the market and its latest offerings in context of the analytics...

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        Topics: Big Data, Mobile Technology, Analytics, Business Intelligence, Digital Technology

        Our firm regularly explores the impacts of new technologies on business. Analytics is foremost among recently emerging technologies, which our benchmark research consistently confirms. In our research on next-generation sales analytics, fourth-fifths (82%) of participating organizations cited analytics as the most important technology trend for sales; however, several other technologies also are adding power and flexibility to the use of sales analytics.

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        Topics: Big Data, Sales, Mobile Technology, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Sales Planning and Analytics

        Vendavo recently held its annual Profit Summit, a combination of a user group conference and a forum for covering evolving trends and techniques in business-to-business (B2B) pricing. Especially in emerging categories like pricing and revenue management, this sort of event provides an opportunity to assess the state of the market and the maturity of the applications. As I’ve noted, adoption of price and revenue management software has been slow in the B2B segment of commerce due to multiple...

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        Topics: Big Data, Sales, Office of Finance, Analytics, Cloud Computing, Sales Performance Management, Price and Revenue Management, Digital Commerce, Pricing and Promotion Management, Sales Enablement and Execution, Sales Planning and Analytics

        The importance of analytics for sales organizations is clear and, as I pointed out in my recent analyst perspective on the next generation of sales analytics, these capabilities optimize revenue potential. However, utilizing sales analytics requires a set of data skills that most organizations still find challenging and are thus not fully prepared to support. The efficient access and preparation of data underlies any analytics processes, which must meet demanding needs that are not always...

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        Topics: Big Data, Sales, Machine Learning, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Technology, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Sales Planning and Analytics

        I have been following advances in sales analytics since the 1990s. Over the last five years, however, I have seen evolution, not innovation. In most cases the information that analytics provides is too complicated and not contextualized enough for sales people who are not analytics experts to understand, let alone take action on. As I pointed out in my 2017 research agenda on sales, analytics is essential for planning that improves the impacts of sales efforts and meets the goals of the...

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        Topics: Big Data, Sales, Mobile Technology, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Sales Planning and Analytics

        Anaplan recently held Anaplan Hub, its annual user group meeting. The company offers a cloud-based business planning platform that incorporates a modeling and calculation engine. The tool makes it relatively easy to add or expand the scope of plans that can be connected and monitored as a central source. Companies typically use Anaplan software for financial planning or budgeting, sales, workforce, marketing and IT planning. These are the types of plans in which companies often need to create...

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        Topics: Customer Analytics, Human Capital Management, Marketing, Marketing Performance Management, Office of Finance, Recurring Revenue, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Collaboration, HRMS, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Work and Resource Management, Operations & Supply Chain, Sales Enablement and Execution, ERP and Continuous Accounting, Sales Planning and Analytics

        Pricing is an issue that affects almost every for-profit company that doesn’t sell purely commodity products. A corporation’s approach to pricing can range from highly disciplined to ad hoc and from fully centralized to decentralized. The issue of centralized or decentralized depends a great deal on the markets the company serves, its organizational structure and its culture. However, a disciplined approach to price setting and negotiation is always superior to an ad hoc approach. This is...

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        Topics: Big Data, Office of Finance, Continuous Planning, Analytics, Sales Performance Management, Financial Performance Management, Price and Revenue Management, Pricing and Promotion Management, Sales Enablement and Execution, ERP and Continuous Accounting, Sales Planning and Analytics

        Oracle recently held its second ERP Cloud Summit with industry analysts. The all-day event wasn’t just about ERP. The company covered a range of its business applications, including financial performance management as well as its Adaptive Intelligent Applications. And it wasn’t just about the cloud. After more than a decade of steady developments, ERP systems have begun to change fundamentally, facilitated by the growing availability of new technologies including cloud computing, advanced...

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        Topics: Big Data, Data Science, Mobile, Customer Experience, Human Capital Management, Machine Learning, Office of Finance, Analytics, Data Integration, Internet of Things, Cognitive Computing, HRMS, Financial Performance Management, Mobile Marketing Digital Commerce, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting

        Some 3,000 people attended Domo’s recent customer event, called Domopalooza. That’s nearly double the attendance of the previous event, which my colleague Mark Smith covered. Formerly a bit “stealthy,” Domo has started sharing more information, some of which I’ll pass along, as well as observations about product announcements made at the event.

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        Topics: Data Science, Mobile, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Machine Learning and Cognitive Computing, Machine Learning Digital Technology

        In tracking Genesys for several years I have seen it grow through a series of product developments and acquisitions – from predominantly selling call routing and computer/telephony integration (CTI) software to providing a suite of products that manage inbound and outbound, assisted and digital channels of customer engagement. Continuing this expansion Genesys recently acquired Interactive Intelligence and Silver Lining. These new assets signal another round of transformation as the company...

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        Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Analytics, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center, Digital Technology

        I recently attended SAS Institute’s analyst relations conference. There the company provided updates on its financial performance and its Viya platform and a glimpse into some of its future plans.

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        Topics: Big Data, Data Science, Mobile Technology, business intelligence, Analytics, Cloud Computing, Collaboration, Data Governance, Data Integration, Data Preparation, Internet of Things, Information Optimization, Machine Learning and Cognitive Computing, Machine Learning Digital Technology

        Cloudera provides database and enabling technology for the big data market and overall for data and information management. As my colleague David Menninger has written, the big data and information management technology markets are changing rapidly and require vendors to adapt to them. Cloudera has grown significantly over the last decade and now has approximately 1,000 customers and provides support and services in countries around the world. Its product and technology strategy is to provide a...

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        Topics: Big Data, Data Science, Machine Learning, business intelligence, Analytics, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, Cognitive Computing, Information Optimization, Digital Technology

        Business process reengineering was a consulting fashion in the early 1990s that spurred many companies to purchase their first ERP systems. BPR proposes a fundamental redesign of core business processes to achieve substantial improvements in market and customer responsiveness, productivity, cycle times and quality. ERP systems support business process reengineering by guiding the step-by-step execution of the redesigned process to ensure that it is performed consistently. They also automate the...

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        Topics: Big Data, Data Science, Mobile, Customer Analytics, Customer Experience, Machine Learning, Office of Finance, Wearable Computing, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Data Integration, Internet of Things, Financial Performance Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting, Sales Planning and Analytics

        In tracking NICE for a decade I have seen the company grow, through a series of acquisitions and product developments, from a vendor largely of workforce management systems to one that offers a full suite of workforce optimization products. It is now advancing what I call a customer experience platform that builds on top of my last coverage of it advancing its efforts. This includes systems to manage assisted channels of engagement (primarily the telephone), digital channels of engagement,...

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        Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Mobile Technology, Analytics, Cloud Computing, Collaboration, Customer Service, Contact Center, CRM, Digital Technology

        I am happy to provide my personal perspective on the potential of sales organizations, processes and technology to supercharge business activity in 2017. The sales processes of organizations – whether they involve digital commerce or direct or indirect physical selling – should be part of continuous optimization efforts to reach maximum results. To do this, the people leading and running sales processes must be able to use technology that supports their responsibilities and analyzes the crucial...

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        Topics: Big Data, Sales, Machine Learning, Mobile Technology, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Technology, Digital Commerce, Operations & Supply Chain, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Sales Planning and Analytics

        More businesses are using software to implement and support a strategic pricing strategy designed to optimize revenue and margins in business-to-business (B2B) transactions because it can help improve results at the bottom line. “Optimize” in this instance means managing the trade-off that usually exists between revenue and profitability objectives in order to support a company’s strategy and capabilities in a given market. Business-to-business pricing management is Ventana Research’s term for...

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        Topics: Big Data, Data Science, Sales, Office of Finance, Analytics, Cloud Computing, Sales Performance Management, Financial Performance Management, Price and Revenue Management, Pricing and Promotion Management, Sales Enablement and Execution, ERP and Continuous Accounting

        Until recently most organizations deployed systems on their own premises to build communications and contact center infrastructures, which often required them to integrate products from several vendors. In the past few years many vendors have moved their systems to the cloud, and others have begun as cloud-based suppliers. This trend has opened up the opportunity for more organizations to take advantage of modern communication systems and contact centers. Using the cloud for either, or both can...

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        Topics: Big Data, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Internet of Things, Contact Center, Digital Commerce, Subscription Billing

        The Internet of Things (IoT) is a technology that extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This advance enables virtually any device to transmit its data, to which analytics can then be applied to facilitate monitoring and a range of operational functions. IoT can deliver value in several ways. It can provide organizations with more complete data about their operations, which helps them improve efficiencies and so reduce...

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        Topics: Big Data, Wearable Computing, Analytics, Internet of Things, Digital Technology

        Big data initially was characterized in terms of “the three V’s,” volume, velocity and variety. Nearly five years ago I wrote about the three V’s as a way to explain why new and different technologies were needed to deal with big data. Since then the industry has tackled many of the technical challenges associated with the three V’s. In 2017 I propose that we focus instead on a different letter, which includes these A’s: analytics, awareness, anticipation and action. I’ll explain why each is...

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        Topics: Data Science, Machine Learning, Analytics, Business Intelligence, Collaboration, Data Preparation, Internet of Things, Information Optimization

        Senior finance executives and finance organizations that want to improve their performance must recognize the value of technology as a key tool for doing high-quality work. Consider how poorly your organization would perform if it had to operate using 25-year-old software and hardware. Having the latest technology isn’t always necessary, but it’s important for executives to understand that technology shapes a finance organization’s ability to improve its overall effectiveness.

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        Topics: Big Data, Data Science, Mobile, Human Capital Management, Mobile Technology, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Financial Performance Management, Price and Revenue Management, Inventory Optimization, Operations & Supply Chain, Enterprise Resource Planning, Sales and Operations Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting

        Big data has become an integral part of information management. Nearly all organizations have some need to access big data sources and produce actionable information for decision-makers. Recognizing this connection, we merged these two topics when we put together our recently published research agendas for 2017. As we plan our research, we focus on current technologies and how they can be used to improve an organization’s performance. We then share those results with our readers.

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        Topics: Big Data, Data Science, Analytics, Data Governance, Data Integration, Data Preparation, Information Management, Internet of Things, Machine Learning and Cognitive Computing, Machine Learning Digital Technology

        In 2016 Ventana Research saw a significant shift in the customer engagement and contact center software markets. Our benchmark research into the next-generation contact center in the cloud shows that for 70 percent of companies, customer experience is and will be an important way of competing; the largest growth in ways of competing is to introduce digital self-service, which will increase by 12 percent. To support those changes, organizations have introduced more channels of engagement, to the...

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        Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Analytics, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center

        Ventana Research analysts recently published our research agendas for 2017. As we put together these plans we think about the forces that are shaping the markets that we cover and then craft agendas that study these issues to provide insights for our community. I’ve been working in the business intelligence (BI) and analytics market for nearly 25 years, and throughout that time the industry has been trying to make analytics useful to increasingly wider audiences. That focus continues to today....

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        Topics: Big Data, Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Internet of Things, Machine Learning and Cognitive Computing, Machine Learning Digital Technology

        I’ve long advocated the use of effective technology in the tax function, especially for organizations that operate in multiple jurisdictions or have complex legal structures manage direct tax provision and analysis using outdated or inappropriate tools. Our Office of Finance benchmark research reveals that most organizations use spreadsheets to manage their tax provision and analysis: Half (52%) rely solely on spreadsheets, and another 38 percent mainly use them. I recommend to corporations...

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        Topics: Big Data, Office of Finance, Continuous Planning, Analytics, Financial Performance Management, ERP and Continuous Accounting

        NICE is a longstanding provider of contact center systems. At the beginning of 2016 NICE acquired Nexidia, a provider of customer analytics, which raised questions about the future of the acquired company, its products and its customers. During a recent briefing SVP of product management Larry Skowronek discussed these issues. Nexidia now trades as “a NICE analytics company,” which is unusual because previous NICE acquisitions have been absorbed into the overall company and the brand...

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        Topics: Analytics

        The business intelligence market is bounded on one side by big data and on the other side by data preparation. That is, to maximize their performance in using information, organizations have to collect and analyze ever increasing volumes of data while the tools available are constantly evolving in the big data ecosystem that I have written about. In our benchmark research on big data analytics, half (51%) of organizations said they want to access big data using their existing BI tools. At the...

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        Topics: Big Data, Analytics, Business Intelligence, Collaboration, Data Integration, Data Preparation, Information Management, Internet of Things

        Price and revenue optimization (PRO) is a business discipline used to produce demand-based pricing; it applies market segmentation techniques to achieve strategic objectives such as increased profitability or greater market share. In essence, PRO enables companies to surf the demand curve using dynamic rather than fixed pricing to achieve the most desirable trade-offs between revenue volume and profit margins. The trade-off is defined by strategic factors such as the company’s market position,...

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        Topics: Big Data, Data Science, Sales, Office of Finance, Analytics, Cloud Computing, Sales Performance Management, Financial Performance Management, Price and Revenue Management

        Over the last few years the telecommunications and call center industries have undergone radical changes. Telecommunications was mainly in the hands of national and regional telecom companies, which essentially owned all the cables in the ground. The call center market was dominated by a small number of vendors that provided on-premises systems to manage and route calls when they arrived at a company’s offices. The telecom model was in effect the first cloud-based service, though almost no one...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        The big data market continues to evolve, as I have written previously. Vendors are attempting to differentiate their offerings as they seek to encourage customers to pay for technology that they could potentially download for free.

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        Topics: Big Data, Analytics, Business Intelligence, Internet of Things, Information Optimization

        Our benchmark research into the next-generation contact center in the cloud confirms what most people intuitively know – that consumers now engage with each other and organizations through more communication channels than a few years ago and that many of these are speech- and text-based. Companies are therefore generating large volumes of voice recordings and textual records. They contain vital information about what customers feel about issues connected to their dealings with the organization...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        The treasury function in finance departments doesn’t get a lot of attention, but it’s a fundamentally important one: to ensure that all funds are accounted for and that there is sufficient cash on hand each day to meet operating requirements. Keeping track of and managing cash, especially in larger organizations, can be complicated because of multiple bank accounts, complex financing requirements and various methods of receiving and making payments; the complexity deepens when more than one...

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        Topics: Predictive Analytics, Office of Finance, credit, debt, Analytics, CFO, cash management, controller, Financial Performance Management

        Zuora provides software that supports the rapidly expanding subscription economy. I recently attended the company’s user event in London, called subscribe16. During his keynote speech CEO Tien Tzuo insisted that the subscription economy is not only here to stay but is likely to grow substantially. In the U.K. alone, he said, 40 million users are using subscription services, including 14 million use video streaming services, 5.4 million use music streaming services, and perhaps most surprising,...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Today’s rapid changes in technology have left many companies behind in the digital transformation that is shaping the future of marketing, sales, commerce and client engagement. At Ventana Research we have seen this change coming, having been close observers and analysts of technological shifts for almost 15 years, providing continuous research and guidance to the technology industry. Now the leading edge is the digital point of engagement with customers through websites and social media....

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        Topics: Customer Experience, Marketing, Marketing Performance Management, Mobile Technology, Analytics, Cloud Computing, Digital Technology, Digital Marketing

        IBM recently held its inaugural World of Watson event. Formerly known as IBM Insight, and prior to that IBM Information on Demand, the annual event, attended by 17,000 people this year, showcases IBM’s data and analytics and the broader IBM efforts in cognitive computing. The theme for the event, as you might guess, was the Watson family of cognitive computing products. I, for one, was glad to spend more time getting to know the Watson product line, and I’d like to share some of my observations...

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        Topics: Big Data, Data Science, Machine Learning, Analytics, Cloud Computing, Data Governance, Data Integration, Internet of Things, Information Optimization, Machine Learning and Cognitive Computing

        More than 13,000 self-described “data and visualization nerds” gathered in Austin, TX, recently for Tableau Software’s annual customer conference. In his inaugural keynote, Tableau’s new CEO, Adam Selipsky, said that nearly 9,000 were first-time attendees. I was impressed with the enthusiasm of the customers who had gathered for the event, cheering as company officials reviewed product plans and demonstrated new features. This enthusiasm suggests Tableau has provided capabilities that resonate...

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        Topics: Tableau, Analytics, Business Intelligence, Visualization, DataPrep

        Verint is an established vendor of contact center systems. Its portfolio of products includes digital customer engagement, knowledge management, agent desktop, workforce optimization (for which it was recently rated the top vendor in the Ventana Research 2016 Value Index), voice of the customer and multiple forms of analytics - including text. Verint has built its portfolio through internal developments and acquisitions, the latest of which is OpinionLab. This merger adds two significant...

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        Topics: Customer Engagement, Customer Experience, Speech Analytics, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, CRM, Text Analytics

        Robotics is nothing new to some aspects of manufacturing and the IT industry, but it is relatively new in the customer experience (CX) market. The term often conjures up images of little gray machines taking over tasks previously handled by humans – machines making cars, programmed vacuum cleaners and the like. In the CX space, however, we are not talking about machines but about software that can automate routine tasks. For the time being, I don’t believe robots will take over the contact...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Analysts have been talking and writing about a “360 degree” view of the customer for years. Our own benchmark research into customer relationship management shows that only37 percent of organizations are able to produce analysis and reports that yield such a comprehensive view. Other research into next-generation customer analytics reveals that the main issue in this area for nearly two-thirds (63%) of organizations is data availability. To make the situation worse, customer-related data is...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Data preparation is critical to the effectiveness of both operational and analytic business processes. Operational processes today are fed by streams of constantly generated data. Our data and analytics in the cloud benchmark research shows that more than half (55%) of organizations spend the most time in their analytic processes preparing data for analysis – a situation that reduces their productivity. Data now comes from more sources than ever, at a faster pace and in a dizzying array of...

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        Topics: Analytics, Data Preparation

        SYSPRO is a 35-year-old software vendor that focuses on selling enterprise resource planning (ERP) systems to midsize companies, particularly those in manufacturing and distribution. In manufacturing, SYSPRO supports make, configure and assemble, engineer to order, make to stock and job shop environments. The company attempts to differentiate itself through vertical specialization and its years of ongoing development, which can reduce the need for customization and cut the cost of initial and...

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        Topics: Big Data, SaaS, ERP, Governance, Human Capital Management, Office of Finance, close, Continuous Accounting, Analytics, CIO, Cloud Computing, Collaboration, CFO, CRM, CEO

        In the late 1990s, CRM systems were launched to help organizations become customer-centric, to manage customer relationships from end to end, through marketing to sales to customer service, and to provide a “360-degree view of the customer.” For a variety of reasons (overselling, lack of proper adoption, missing functionality), they never lived up to many companies’ expectations, and so CRM got a poor reputation. I recently wrote that customer experience management has undergone significant...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        During a recent briefing with NGData, I was initially put off by excessive “marketing speak.” The team began by describing its product, Lily Enterprise, as a “customer experience operating system.” Being used to having operating systems run entire computers, I wasn’t sure what this meant. This term was followed by a statement that NGData’s products help companies transition from being “B2C to C2B,” that is, to put the customer first, an idea that has been around for several years but in my...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        I recently attended .conf2016, Splunk’s seventh annual user conference. Splunk created the market for analyzing machine data (shorthand for machine-generated data), which consists of log files and event data from various types of systems and devices. Our big data analytics benchmark research shows that these are two of the most common sources of big data that organizations analyze. This market has proven to be fertile ground for Splunk, growing steadily with revenues more than doubling over the...

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        Topics: Machine Learning, Splunk, Analytics, Machine data, Operational Intelligence

        Over the years, our benchmark research studies on contact center systems have shown that larger centers use dedicated contact center systems to support their operations nearly twice as often as centers that have fewer than 250 seats. Smaller centers typically lack budgets and technical skills to deploy and operate such systems. This situation is evident in the tools commonly used to support workforce management and analytics; smaller centers most often use spreadsheets. While spreadsheets have...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics

        I recently attended Oracle OpenWorld for the first time in several years. The message at this year’s event was clear: Oracle is all in on the cloud. I had heard the message, but I didn’t get the full impact until I arrived at the Moscone Center in San Francisco. All signage at the event contained the word “cloud,” and Oracle issued 18 press releases in conjunction with OpenWorld related to cloud computing. I also found out that Oracle has its own definition of “cloud.”

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        Topics: Big Data, Office of Finance, Analytics, Business Intelligence, Cloud Computing

        The annual Oracle OpenWorld user group meeting provides an opportunity to step back and take a longer view of business, industry and technology trends affecting the company. Last year, after listening to Larry Ellison’s and Mark Hurd’s vision for the future of IT, I wrote that Oracle had to continue shifting its focus to business applications because the accelerating shift to cloud computing would lead corporations to outsource their IT infrastructures, services and security to third parties....

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        Topics: Big Data, Performance Management, SaaS, ERP, Office of Finance, Analytics, Cloud Computing, PaaS, Digital Technology

        Evaluagent is a U.K.-based company founded in 2012 that is carving out a niche in the workforce optimization market. Whereas most WFO vendors offer broad portfolios of products that focus on operational efficiency to reduce the cost of agents, Evaluagent’s narrower portfolio focuses on the people side of interaction handling, particularly agent engagement and satisfaction. The company’s founders had in-depth operational experience of contact centers, and they set out to improve the job...

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        Topics: Analytics

        Ventana Research coined the term “enterprise spreadsheet” in 2004 to describe a variety of software applications that add a desktop spreadsheet’s user interface (usually that of Microsoft Excel) to components that address the issues that arise when desktop spreadsheets are used in repetitive, collaborative enterprise processes. Enterprise spreadsheets are designed to provide the best of both worlds in that they offer the ease of use and flexibility of desktop spreadsheets while overcoming their...

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        Topics: Sales Performance, Supply Chain Performance, Office of Finance, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Financial Performance Management (FPM)

        Imagine how the third Monday in next January looks to leaders in the sales department. That’s the first day of the annual sales kickoff and the excitement level won’t get any higher. New products and services are in the works, lucrative customer contracts are up for renewal, alliance partners are in the house, and qualified opportunities are already flowing through your pipeline. The executive team is expecting big things from sales in the new year and has approved hiring additional people to...

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        Topics: Sales, Sales Performance, Human Capital, Human Capital Management, Mobile Technology, CRO, Analytics, Business Analytics, Business Collaboration, Business Performance, Financial Performance, Operational Intelligence

        Since I last wrote about Upstream Works it has expanded its focus on contact center agent efficiency and effectiveness to include omnichannel customer experience. Each of its core products has undergone a number of developments. Its main product now is Upstream Works for Finesse, which it classifies as a smart agent desktop. This is a desktop application that enables users of contact center systems to access the information and systems they need to resolve interactions, as well as prompting the...

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        Topics: Customer Experience, Customer Performance, Analytics, Business Analytics, Call Center

        It often seems to business-to-business (B2B) marketers as if the only people who understand them are other B2B marketers. They feel that salespeople don’t get what they do day-to-day, that friends and family don’t understand what they do for a living, and most of all that the executives to whom they report have no interest in what they do – that is, until the last day of the quarter. Then they require that B2B marketers deliver positive, lead-generating and revenue-producing results in reports...

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        Topics: Big Data, Sales Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Operational Intelligence, Hive9 Marketing Performance Management

        I coined the term “cryptic data” to mean information that isn’t easy to find or access by people who could make use of it. In one instance, cryptic data offers professional investors – portfolio managers and securities analysts – a source of proprietary information that can improve their ability to pick stocks and achieve superior performance relative to their benchmarks. Automation through technology now makes collecting cryptic data substantially more efficient than manual methods and thus...

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        Topics: Big Data, Analytics, Business Analytics, Business Performance, Financial Performance, Uncategorized

        Technology innovation is accelerating faster than companies can keep up with. Many feel pressure to adopt new strategies that technology makes possible and find the resources required for necessary investments. In 2015 our research and analysis revealed many organizations upgrading key business applications to operate in the cloud and some enabling access to information for employees through mobile devices. Despite these steps, we find significant levels of digital disruption impacting every...

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        Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Governance, Mobile Technology, Operational Performance Management (OPM), Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Uncategorized, Workforce Performance, Business Performance Management (BPM), Financial Performance Management (FPM), Information Optimization, Sales Performance Management (SPM)

        Financial planning and analysis (FP&A) is one of the core functions of any finance department. Preparing a budget, measuring performance to financial objectives and forecasting the company’s financial position are three of the main tasks for the FP&A organization within Finance. A key challenge for today’s FP&A organization is increasing the business value and relevance of budgeting and planning. To do so, FP&A must transform the processes from a static, rear-view mirror approach to a...

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        Topics: Analytics, Business Performance, Financial Performance, Uncategorized

        Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally...

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        Topics: Big Data, Data Science, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, FP&A, Human Capital, Marketing, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Kofax, Statistics, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Business Performance Management (BPM), Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM)

        The imperative to transform the finance department to function in a more strategic, forward-looking and action-oriented fashion has been a consistent theme of practitioners, consultants and business journalists for two decades. In all that time, however, most finance and accounting departments have not changed much. In our benchmark research on the Office of Finance, nine out of 10 participants said that it’s important or very important for finance departments to take a strategic role in...

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        Topics: Big Data, Planning, Predictive Analytics, Social Media, Governance, GRC, Human Capital, Mobile Technology, Office of Finance, Budgeting, close, Continuous Accounting, Continuous Planning, end-to-end, Tax, Tax-Datawarehouse, Analytics, Business Analytics, Business Collaboration, Business Performance, CIO, Cloud Computing, Financial Performance, In-memory, Uncategorized, CFO, CPQ, Risk, CEO, Financial Performance Management, FPM

        The big data market continues to expand and enable new types of analyses, new business models and new revenues streams for organizations that implement these capabilities. Following our previous research into big data and information optimization, we’ll investigate the technology trends affecting both of these domains as part of our 2016 research agenda.

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        Topics: Big Data, Analytics, Business Analytics, Business Intelligence, Data Preparation, In-memory, Information Management, Operational Intelligence, Uncategorized, Information Optimization

        Throughout the course of our research in 2016, we’ll be exploring ways in which organizations can maximize the value of their data. Ventana Research believes that analytics is the engine and data is the fuel to power better business decisions. Several themes emerged from our benchmark research on incorporating data and analytics into organizational processes, and we will follow them in our 2016 Business Analytics Research Agenda:

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        Topics: Big Data, Predictive Analytics, Mobile Technology, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Information Management, Operational Intelligence, Information Optimization

        Some followers of Ventana Research may recall my work here several years ago. Here and elsewhere I have spent most of my career in the data and analytics markets matching user requirements with technologies to meet those needs. I’m happy to be returning to Ventana Research to resume investigating ways in which organizations can make the most of their data to improve their business processes; for a first look, please see our 2016 research agenda on Big Data and Information Optimization. I relish...

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        Topics: Big Data, Predictive Analytics, Analytics, Business Analytics, Business Intelligence, Information Management, Internet of Things, IOT, Operational Intelligence, Unicorns, Information Optimization

        I have been involved in the contact center, CRM and customer engagement business for more than 25 years. Yet only in the past few years have I seen much change. Until recently nearly all organizations focused on handling customer interactions as efficiently and inexpensively as possible; few made much effort to manage customer relationships over the complete customer life cycle. However, over the last 18 months, the scene has begun to change very rapidly, and I expect that to continue and even...

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        Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        A new company has emerged in the market for real-time analytics software. Anodot came out of stealth mode in late 2015 with $3 million in funding. It is led by three founders: CEO David Drai, whose company Cotendo was acquired by networking company Akamai Technologies in 2012; Ira Cohen, chief data scientist, who previously held that position at Hewlett-Packard; and Shay Lang, who serves as VP of R&D. Unlike most vendors in the space, the company is delivering anomaly detection and operational...

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        Topics: Big Data, Predictive Analytics, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Internet of Things, Operational Intelligence, Uncategorized

        There were significant technology developments in customer experience management during 2015. Multichannel contact centers in the cloud took hold of the contact center infrastructure market; I counted 21 vendors offering such services. A variety of vendors entered the market for customer analytics, combining analysis of structured data, speech recordings, text, desktop data, Web contacts, and events and processes to provide a comprehensive “360-degree” view of the customer and customer journey...

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        Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        The steady march of technology’s ability to handle ever more complicated tasks has been a constant since the beginning of the information age in the 1950s. Initially, computers in business were used to automate simple clerical functions, but as systems have become more capable, information technology has been able to substitute for increasingly higher levels of human skill and experience. A turning point of sorts was reached in the 1990s when ERP, business intelligence and business process...

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        Topics: Sustainability, ERP, Governance, GRC, Human Capital, Office of Finance, audit, finance transformation, LongView, Tax, Analytics, Business Analytics, Business Performance, Financial Performance, Oracle, CFO, Risk & Compliance (GRC), Vertex, FPM, Innovation Awards, Thomson-Reuters multinational

        Based in the U.K., mplsystems is a relatively small vendor of contact center in the cloud systems, having fewer than 200 employees, but it has a distinct portfolio of products. Its core product, intelligentContact, is designed for omnichannel customer engagement. Its two other products, Customer Service CRM and Field Service Management, are not typically supported by other vendors in this space. As I dug deeper into the component parts of each of these products, I found other capabilities that...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Mobile Technology, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        IBM redesigned its business intelligence platform, now called IBM Cognos Analytics. Expected to be released by the end of 2015, the new version includes features to help end users model their own data without IT assistance while maintaining the centralized governance and security that the platform already has. Our benchmark research into information optimization shows that simplifying access to information is important to virtually all (97%) participating organizations, but it also finds that...

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        Topics: Big Data, Mobile Technology, Wearable Computing, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, Uncategorized, Visualization, Cognos, Information Optimization, Risk & Compliance (GRC), Watson, cognos analytics

        In our benchmark research into contact centers in the cloud, nearly two-thirds (63%) of companies said that adopting applications in the cloud would enable them to improve how they handle customer interactions, and slightly fewer than half (44%) said that adopting communication systems in the cloud would deliver similar benefits. Several vendors now provide such systems. Diabolocom is the latest one to brief me on its products. Founded in 2005 and having around 30 employees, it has headquarters...

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        Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Oracle has built one of the world’s largest software portfolios through a combination of developing products in-house and acquisitions. In the last few years it has put great effort into transitioning from providing its applications as on-premises products to making them available in the cloud. It also has worked to add customer experience capabilities to its range of business applications. Improving the customer experience is a top priority as our next generation customer engagement research...

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        Topics: Big Data, Customer Engagement, Customer Experience, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, CRM

        The ERP market is set to undergo a significant transformation over the next five years. At the heart of this transformation is the decade-long evolution of a set of technologies that are enabling a major shift in the design of ERP systems – the most significant change since the introduction of client/server systems in the 1990s. Some ERP software vendors increasingly are utilizing in-memory computing, mobility, in-context collaboration and user interface design to differentiate their...

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        Topics: Performance Management, ERP, FP&A, Human Capital, Office of Finance, Reporting, Consolidation, Reconciliation, Analytics, Business Analytics, Business Performance, Financial Performance, Uncategorized, Financial Performance Management, FPM

        Over the last four years Domo, a new brand in cloud-based data and analytics software, has worked to enable its customers to understand, collaborate and act on data to achieve business results. Led by its founder and CEO, Josh James, the company has worked to deliver software that provides both a good user experience and business value. Recently, at its 2015 customer conference Domopalooza, the company presented itself and its products to the general public. I had a chance to meet with company...

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        Topics: Sales Performance, Supply Chain Performance, Human Capital, Mobile Technology, Operational Performance Management (OPM), Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, Governance, Risk & Compliance (GRC), Domo, Risk & Compliance (GRC), SAB Miller

        Tableau Software’s annual conference, which company spokespeople reported had more than 10,000 attendees, filled the MGM Grand in Las Vegas. Various product announcements supported the company’s strategy to deliver value to analysts and users of visualization tools. Advances include new data preparation and integration features, advanced analytics and mapping. The company also announced the release of a stand-alone mobile application called Vizable . One key message management aimed to promote...

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        Topics: Big Data, Tableau, Mobile Technology, data viz, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, Visualization, Information Optimization, Risk & Compliance (GRC)

        When I last wrote about Intradiem, its focus was on using numerous sources of data as input for a rules engine that enables companies to make better use of customer service agents’ idle time by allocating tasks to fill those gaps. Although that fundamental concept hasn’t changed, the latest versions of its products also take on a bigger challenge: automating the handling of interactions by shifting the focus from making the best use of idle time to making the handling of interactions and...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Performance, Analytics, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM

        Supply and demand chain planning and execution have grown in importance over the past decade as companies have recognized that software can meaningfully enhance their competitiveness and improve their financial performance. Sales and operations planning (S&OP) is an integrated business management process first developed in the 1980s aimed at achieving better alignment and synchronization between the supply chain, production and sales functions. A properly implemented S&OP process routinely...

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        Topics: Planning, SaaS, Sales, Sales Performance, Supply Chain Performance, Forecast, Human Capital, Mobile Technology, Supply Chain Planning, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Sales Performance Management (SPM), Sales Planning, Supply Chain, Demand Chain, Integrated Business Planning, SCM Demand Planning, S&OP

        Having covered workforce optimization systems for more than 10 years, recently I was contacted for a briefing by dvsAnalytics. I quickly learned that the analytics mentioned in the company’s name are focused on workforce optimization. Founded in 1983, dvsAnalytics is headquartered in Scottsdale, Ariz., and has thousands of customers in various industry sectors. Its Encore suite of products includes standard workforce optimization applications for call recording, quality management, workforce...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, Text Analytics, Workforce Force Optimization

        Over the last few years, through a combination of acquisitions and internal development, Enghouse Interactive has developed a portfolio of contact center products and services. Recently it announced its product portfolio for 2016. This consists of three core products: CCE, CCSP and EICC. These are updated and rebranded versions of the products I recently wrote about, and each is designed to help different types of organizations maximize the value of every interaction with customers.

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Mobile Technology, Speech Analytics, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Workday Financial Management (which belongs in the broader ERP software category) appears to be gaining traction in the market, having matured sufficiently to be attractive to a large audience of buyers. It was built from the ground up as a cloud application. While that gives it the advantage of a fresh approach to structuring its data and process models for the cloud, the product has had to catch up to its rivals in functionality. The company’s ERP offering has matured considerably over the...

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        Topics: Microsoft, SAP, ERP, FP&A, Human Capital, NetSuite, Office of Finance, Reporting, close, Controller, dashboard, Tax, Operational Performance, Analytics, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, IBM, Oracle, Uncategorized, CFO, Data, Financial Performance Management, FPM, Intacct, Spreadsheets

        Transera is an established vendor of contact center in the cloud systems and analytics, and as I discovered at the Salesforce Dreamforce ’15 conference and during a recent briefing, it has added support for managing voice interactions for users of salesforce.com Service Cloud. Its core product, Global Omni-Channel Contact Center, now supports voice, email, chat and Twitter, which are managed centrally through a routing engine that treats all interactions in the same way. This ensures that...

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        Topics: Big Data, Customer Engagement, Customer Experience, Speech Analytics, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        PentahoWorld 2015, Pentaho’s second annual user conference, held in mid-October, centered on the general availability of release 6.0 of its data integration and analytics platform and its acquisition by Hitachi Data Systems (HDS) earlier this year. Company spokespeople detailed the development of the product in relation to the roadmap laid out in 2014 and outlined plans for its integration with those of HDS and its parent Hitachi. They also discussed Pentaho’s and HDS’s shared intentions...

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        Topics: Big Data, Pentaho, Mobile Technology, Wearable Computing, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Governance, Risk & Compliance (GRC), Information Management, IOT, Operational Intelligence, Uncategorized, Information Optimization, Risk & Compliance (GRC)

        The enterprise resource planning (ERP) system is a pillar of nearly every company’s record-keeping and management of business processes. It is essential to the smooth functioning of the accounting and finance functions. In manufacturing and distribution, ERP also can help plan and manage inventory and logistics. Some companies use it to handle human resources functions such as tracking employees, payroll and related costs. Yet despite their ubiquity, ERP systems have evolved little since their...

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        Topics: Big Data, Microsoft, SAP, Social Media, Supply Chain Performance, ERP, FP&A, Human Capital, Mobile Technology, NetSuite, Office of Finance, Reporting, close, closing, Controller, dashboard, Reconciliation, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, IBM, Oracle, Uncategorized, CFO, Data, finance, Financial Performance Management, FPM, Intacct

        The emerging Internet of Things (IoT) extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation enables devices designed for it to generate and transmit data about their operations; analytics using this data can facilitate monitoring and a range of automatic functions.

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        Topics: Big Data, Predictive Analytics, Mobile Technology, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, IOT, Operational Intelligence, Uncategorized

        Founded in 2000, LiveOps has evolved a unique two-sided business model. On one side is LiveOps Agents on Demand,  an Uber-like business in which home-based workers sign-up as LiveOps agents, and the company uses them to provide outsourced contact center services. This model enables LiveOps to provide flexible levels of service; customers can scale up and down as needed while the provider is able to manage agent numbers cost-effectively. The agents use the LiveOps Cloud Contact Center platform;...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Tidemark Systems offers a suite of business planning applications that enable corporations to plan more effectively. The software facilitates rapid creation and frequent updating of integrated company plans by making it easy for individual business functions to create their own plans while allowing headquarters to connect them to create a unified view. I coined the term “integrated business planning” a decade ago to highlight the potential for technology to substantially improve the...

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        Topics: Planning, Sales Performance, Supply Chain Performance, Customer Experience, Human Capital, Marketing Planning, Reporting, Budgeting, Operational Performance, Analytics, Business Performance, Customer & Contact Center, Financial Performance, Business Performance Management (BPM), Business Planning, Financial Performance Management (FPM), Demand Planning, Integrated Business Planning, Project Planning

        Much is written about omnichannel customer experience, and various software vendors now claim to focus on the customer experience. With various degrees of credibility they range from providers of communication channel management to workforce optimization, voice of the customer, self-service, analytics and even CRM. This bandwagon raisesthe question of what  omnichannel customer experience really is and how companies can achieve it. Our benchmark research into next-generation customer engagement...

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        Topics: Big Data, Sales Performance, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Operational Intelligence, Uncategorized, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        The digital economy has changed the way many companies provide products. Some no longer deliver packaged products but provide them as services over a network, typically the Internet. Telecommunications providers in particular are familiar with this business model and have developed processes and systems that use innovations such as product bundles that include elements of fixed charges (such as cost of installation) and variable charges based on usage (such as the number of calls made) and...

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        Topics: Big Data, Sales Performance, Customer Analytics, Customer Engagement, Customer Experience, Marketing, Customer Performance, Operational Performance, Analytics, Cloud Computing, Customer Service, Financial Performance, CRM

        Splunk’s annual gathering, this year called .conf 2015, in late September hosted almost 4,000 Splunk customers, partners and employees. It is one of the fastest-growing user conferences in the technology industry. The area dedicated to Splunk partners has grown from a handful of booths a few years ago to a vast showroom floor many times larger. While the conference’s main announcement was the release of Splunk Enterprise 6.3, its flagship platform, the progress the company is making in the...

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        Topics: Big Data, Predictive Analytics, Machine Learning, IT Analytics & Performance, Operational Performance, Plunk, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Management, Internet of Things, Operational Intelligence, Data, Information Optimization

        I recently joined more than 1,000 users, partners, consultants and other analysts at the first global G-Force 2015 conference, held in Miami. Sponsor Genesys put together an agenda that not only educated but entertained the attendees. For an example of the latter, Sekou Andrews, a poet, actor, musician and voice-over artist, preceded the main keynotes with a wonderful sketch that put customer experience into the context of marriage and reminded us to treat customers as he does his wife,...

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        Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Whatever Oracle’s cloud strategy had been the past, this year’s OpenWorld conference and trade show made it clear that the company is now all in. In his keynote address, co-CEO Mark Hurd presented predictions for the world of information technology in 2025, when the cloud will be central to companies’ IT environments. While his forecast that two (unnamed) companies will account for 80 percent of the cloud software market 10 years from now is highly improbable, it’s likely that there will be...

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        Topics: Microsoft, Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, ERP, Human Capital, Mobile Technology, NetSuite, Office of Finance, Reporting, close, closing, Controller, dashboard, Tax, Customer Performance, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, IBM, Oracle, Business Performance Management (BPM), CFO, Data, finance, Financial Performance Management (FPM), Financial Performance Management, FPM, Intacct

        The concept and implementation of what is called big data are no longer new, and many organizations, especially larger ones, view it as a way to manage and understand the flood of data they receive. Our benchmark research on big data analytics shows that business intelligence (BI) is the most common type of system to which organizations deliver big data. However, BI systems aren’t a good fit for analyzing big data. They were built to provide interactive analysis of structured data sources using...

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        Topics: Big Data, Predictive Analytics, Software as a Service, IT Analytics & Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Management, Operational Intelligence, Data, Information Optimization

        Many senior finance executives say they want their department to play a more strategic role in the management and operations of their company. They want Finance to shift its focus from processing transactions to higher-value functions in order to make more substantial contributions to the success of the organization. I use the term “continuous accounting” to represent an approach to managing the accounting cycle that can facilitate the shift by improving the performance of the accounting...

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        Topics: ERP, Office of Finance, Reporting, close, closing, Controller, dashboard, Tax, Analytics, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, Data, finance, Financial Performance Management, FPM

        One of the key findings in our latest benchmark research into predictive analytics is that companies are incorporating predictive analytics into their operational systems more often than was the case three years ago. The research found that companies are less inclined to purchase stand-alone predictive analytics tools (29% vs 44% three years ago) and more inclined to purchase predictive analytics built into business intelligence systems (23% vs 20%), applications (12% vs 8%), databases (9% vs...

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        Topics: Big Data, Microsoft, Predictive Analytics, SAS, Social Media, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence, Oracle, Information Optimization, SPSS, Rapidminer

        I recently attended my first U.S. Dreamforce, the annual salesforce.com event designed to showcase its products and services as well as those of its partners, and I was impressed. I was told that Dreamforce ‘15 would be big, and it was – just about every hotel, restaurant, meeting room in San Francisco seemed to have been taken over for the week, and still the company had to bring in a cruise ship to accommodate people and events. I was told it would be manic, and it was – more than 100,000...

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        Topics: Big Data, Sales Performance, Social Media, Customer Analytics, Customer Experience, Marketing, Mobile Technology, Speech Analytics, Wearable Computing, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Our benchmark research into predictive analytics shows that lack of resources, including budget and skills, is the number-one business barrier to the effective deployment and use of predictive analytics; awareness – that is, an understanding of how to apply predictive analytics to business problems – is second. In order to secure resources and address awareness problems a business case needs to be created and communicated clearly wherever appropriate across the organization. A business case...

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        Topics: Big Data, Microsoft, Predictive Analytics, SAS, Social Media, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Operational Intelligence, Oracle, Information Optimization, SPSS, Rapidminer

        ResponseTek is a software vendor whose platform and services help companies collect and act on feedback from their customers. It supports a closed-loop process that collects feedback, analyzes it, provides customizable reports and analysis dependent on the user, and most importantly enables taking action based on the information. This allows companies to understand product and service issues, customer sentiment, intentions, and likely behaviors, and where necessary ensures the most appropriate...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Text Analytics

        As I discussed in the state of data and analytics in the cloud recently, usability is a top evaluation criterion for organizations in selecting cloud-based analytics software. Data access of cloud and on-premises systems are essential antecedents of usability. They can help business people perform analytic tasks themselves without having to rely on IT. Some tools allow data integration by business users on an ad hoc basis, but to provide an enterprise integration process and a governed...

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        Topics: Big Data, Sales Performance, Software as a Service, Mobile Technology, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Information Management, Operational Intelligence, Data

        The theme of transforming the finance organization is hot again. The term “finance transformation” refers to the longstanding objective of shifting the focus of finance departments from transaction processing to more strategic activities such as providing the rest of the organization with forward-looking analysis. I focus on the technology and data aspects of this type of business issue in these analyst perspectives because they are usually essential to achieving some business objective....

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        Topics: Performance Management, continuous improvement, Controller, Analytics, Business Performance, Financial Performance, CFO

        Our recently completed benchmark research on data and analytics in the cloud shows that analytics deployed in cloud-based systems is gaining widespread adoption. Almost half (48%) of participating organizations are using cloud-based analytics, another 19 percent said they plan to begin using it within 12 months, and 31 percent said they will begin to use cloud-based analytics but do not know when. Participants in various areas of the organization said they use cloud-based analytics, but...

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        Topics: Big Data, Software as a Service, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Intelligence, Customer & Contact Center, Operational Intelligence, Business Performance Management (BPM), Data, Information Optimization

        Optimization is the application of algorithms to sets of data to guide executives and managers in making the best decisions. It’s a trending topic because using optimization technologies and techniques to better manage a variety of day-to-day business issues is becoming easier. I expect optimization, once the preserve of data scientists and operations research specialists will become mainstream in general purpose business analytics over the next five years.

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        Topics: Big Data, Performance Management, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Information Management, Price Optimization

        Our research into next-generation predictive analytics shows that along with not having enough skilled resources, which I discussed in my previous analysis, the inability to readily access and integrate data is a primary reason for dissatisfaction with predictive analytics (in 62% of participating organizations). Furthermore, this area consumes the most time in the predictive analytics process: The research finds that preparing data for analysis (40%) and accessing data (22%) are the parts of...

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        Topics: Big Data, Microsoft, Predictive Analytics, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence, Oracle, Information Optimization

        Longview’s recent Dialog user group meeting highlighted the company’s continued commitment to providing much needed automation tools for improving tax department performance – tools that enable the tax function to play a more strategic role in the management of a company. The sessions also covered the capabilities contained in the company’s latest release, Longview 7.2 Update 2 and gave customers a detailed product evolution roadmap following their merger with arcplan.

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        Topics: Big Data, LongView, Analytics, Business Performance, Financial Performance

        The Performance Index analysis we performed as part of our next-generation predictive analytics benchmark research shows that only one in four organizations, those functioning at the highest Innovative level of performance, can use predictive analytics to compete effectively against others that use this technology less well. We analyze performance in detail in four dimensions (People, Process, Information and Technology), and for predictive analytics we find that organizations perform best in...

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        Topics: Big Data, Microsoft, Predictive Analytics, alteryx, Operational Performance Management (OPM), Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Location Intelligence, Oracle, Information Optimization

        To impact business success, Ventana Research recommends viewing predictive analytics as a business investment rather than an IT investment. Our recent benchmark research into next-generation predictive analytics reveals that since our previous research on the topic in 2012, funding has shifted from general business budgets (previously 44%) to line of business IT budgets (previously 19%). Now more than half of organizations fund such projects from business budgets: 29 percent from general...

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        Topics: Big Data, Microsoft, Predictive Analytics, alteryx, Customer Performance, Analytics, Business Analytics, Business Intelligence, Operational Intelligence, Oracle, Business Performance Management (BPM), Rapidminer

        Our recently released benchmark research into next-generation predictive analytics shows that in this increasingly important area many organizations are moving forward in the dimensions of information and technology, but most are challenged to find people with the right skills and to align organizational processes to derive business value from predictive analytics.

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        Topics: Big Data, Predictive Analytics, alteryx, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence

        Our benchmark research on next-generation business planning finds that a large majority of companies rely on spreadsheets to manage planning processes. For example, four out of five use them for supply chain planning, and about two-thirds for budgeting and sales forecasting. Spreadsheets are the default choice for modeling and planning because they are flexible. They adapt to the needs of different parts of any type of business. Unfortunately, they have inherent defects that make them...

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        Topics: Planning, Predictive Analytics, Marketing Planning, Reporting, Sales Forecasting, Budgeting, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Financial Performance, Business Planning, Demand Planning, Integrated Business Planning

        IBM’s Vision user conference brings together customers who use its software for financial and sales performance management (FPM and SPM, respectively) as well as governance, risk management and compliance (GRC). Analytics is a technology that can enhance each of these activities. The recent conference and many of its sessions highlighted IBM’s growing emphasis on making more sophisticated analytics easier to use by – and therefore more useful to – general business users and their organizations....

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        Topics: Big Data, Planning, Predictive Analytics, Governance, Human Capital, Budgeting, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Visualization

        Companies trust their tax departments with a highly sensitive and essential task. Direct (income) taxes usually are the second largest corporate expense, after salaries and wages. Failure to understand and manage this liability is expensive, whether because taxes are overpaid or because of fines and interest levied for underpayment. Moreover, taxes are a political issue, and corporations – especially larger ones – must be mindful of the reputational implications of their tax liabilities.

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        Topics: Big Data, Analytics, Business Performance, Financial Performance

        Adaptive Insights held its annual user group meeting recently. A theme sounded in several keynote sessions was the importance of finance departments playing a more strategic role in their companies. Some participating customers described how they have evolved their planning process from being designed mainly to meet the needs of the finance department into a useful tool for managing the entire business. Their path took them from doing basic financial budgeting to planning focused on improving...

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        Topics: Planning, Predictive Analytics, Human Capital, Marketing, Reporting, Sales Forecasting, Budgeting, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Financial Performance, Business Planning, Supply Chain, Demand Planning, Integrated Business Planning, Project Planning

        Ventana Research recently completed the most comprehensive evaluation of analytics and business intelligence products and vendors available anywhere. As I discussed recently, such research is necessary and timely as analytics and business intelligence is now a fast-changing market. Our Value Index for Analytics and Business Intelligence in 2015 scrutinizes 15 top vendors and their product offerings in seven key categories: Usability, Manageability, Reliability, Capability, Adaptability, Vendor...

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        Topics: Big Data, Data Quality, Predictive Analytics, Gartner, Governance, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Operational Intelligence, Value Index, Strata+Hadoop

        Just a few years ago, the prevailing view in the software industry was that the category of business intelligence (BI) was mature and without room for innovation. Vendors competed in terms of feature parity and incremental advancements of their platforms. But since then business intelligence has grown to include analytics, data discovery tools and big data capabilities to process huge volumes and new types of data much faster. As is often the case with change, though, this one has created...

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        Topics: Big Data, Data Quality, Predictive Analytics, Gartner, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Value Index, Strata+Hadoop

        Managing prices has always been an activity of keen interest to businesses, but it has become even more critical to do it well. Over the past decade many companies have found their ability to raise prices has been constrained by intense competition resulting from Internet commerce, global competition and other factors. One tool for dealing with this pressure is price and revenue optimization (PRO), an analytic methodology that calculates how demand varies at different price levels and then uses...

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        Topics: Big Data, Performance Management, Sales, Office of Finance, Operational Performance Management (OPM), Analytics, Business Analytics, Business Performance Management (BPM), Financial Performance Management (FPM), Sales Performance Management (SPM), analytical application, Price Optimization

        Enghouse Interactive is one of three divisions of Enghouse Systems, a publicly traded Canadian company founded in 1984. The other two divisions provide network technology to telecommunications providers and applications for public and private transportation companies; Enghouse Interactive owns the company’s three contact center systems. The corporate group has a history of growth – it now has a market capitalization of more than US$1 billion - achieved both organically and through an aggressive...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Customer Performance, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Competition for customers is more intense today than ever before, and companies struggle to differentiate themselves from the competition. Our research repeatedly finds that customer experience is a key differentiator. Our research into next-generation customer engagement said the impetus for improving engagement is to improve the customer experience in almost three quarters (74%) of participants. One increasingly popular way to do this is to use customer journey maps, which show how companies...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Customer Performance, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        In many organizations, advanced analytics groups and IT are separate, and there often is a chasm of understanding between them, as I have noted. A key finding in our benchmark research on big data analytics is that communication and knowledge sharing is a top benefit of big data analytics initiatives, but often it is a latent benefit. That is, prior to deployment, communication and knowledge sharing is deemed a marginal benefit, but once the program is deployed it is deemed a top benefit. From...

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        Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, alpine data labs, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Strata+Hadoop

        In our benchmark research at least half of participants that use spreadsheets to support a business process routinely say that these tools make it difficult for them to do their job. Yet spreadsheets continue to dominate in a range of business functions and processes. For example, our recent next-generation business planning research finds that this is the most common software used for performing 11 of the most common types of planning. At the heart of the problem is a disconnect between what...

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        Topics: Planning, Sales Performance, ERP, Forecast, GRC, Office of Finance, Reporting, closing, dashboard, enterprise spreadsheet, Excel, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Financial Performance, Information Management, Data, Risk, application, benchmark, Financial Performance Management

        Verint entered the enterprise market for customer feedback management when it acquired Vovici in August 2011. Since then the Vovici products have been integrated into Verint’s Customer Engagement Optimization suite, which includes products originally developed by Verint and Kana, which it also acquired. The current suite supports a range of capabilities that Verint groups into three categories: customer analytics (various types of analytics and Enterprise Feedback Management), customer...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        Maximizing the performance and value of people in the workforce should be a primary focus for any business these days. It is a complex task, especially for larger organizations, and chances for success can be increased by investment in human capital management (HCM) applications. In this competitive software market SAP is making a strong push, aided by acquisitions in the last three years of SuccessFactors for talent management and more recently Fieldglass for contingent labor management....

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        Topics: SAP, HCM, Human Capital Management, Learning, Performance, Recruiting, SuccessFactors, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Compensation, HRMS, Vendor Management Systems, Workforce Analytics, Workforce Management, Workforce Planning

        Data is an essential ingredient for every aspect of business, and those that use it well are likely to gain advantages over competitors that do not. Our benchmark research on information optimization reveals a variety of drivers for deploying information, most commonly analytics, information access, decision-making, process improvements and customer experience and satisfaction. To accomplish any of these purposes requires that data be prepared through a sequence of steps: accessing, searching,...

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        Topics: Big Data, Sales Performance, Supply Chain Performance, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Data Preparation, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Information Optimization

        The idea of not focusing on innovation is heretical in today’s business culture and media. Yet a recent article in The New Yorker suggests that today’s society and organizations focus too much on innovation and technology. The same may be true for technology in business organizations. Our research provides evidence for my claim.

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        Topics: Big Data, Sales, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Information Management

        At its annual MicroStrategy World conference, this provider of analytics and business intelligence systems for business and IT introduced a new version of its flagship product, MicroStrategy 9s. Among many advances it adds enterprise grade security with MicroStrategy Usher as part of the maintenance update to its 9.4.1 release. Security is increasingly critical for analytics and BI. Technologies that work intensively with data, including reporting, business intelligence, analytics and data...

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        Topics: Big Data, Mobile, Sales Performance, Governance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Information Management, Risk & Compliance (GRC), Security

        One of the issues in handling the tax function in business, especially where it involves direct (income) taxes, is the technical expertise required. At the more senior levels, practitioners must be knowledgeable about accounting and tax law. In multinational corporations, understanding differences between accounting and legal structures in various localities and their effects on tax liabilities requires more knowledge. Yet when I began to study the structures of corporate tax departments, I was...

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        Topics: Big Data, ERP, Governance, GRC, Office of Finance, audit, finance transformation, LongView, Tax, Analytics, Business Analytics, Business Performance, Financial Performance, Information Management, Oracle, CFO, Risk & Compliance (GRC), Vertex, FPM, Innovation Awards, Thomson-Reuters multinational

        Oracle is one of the world's largest business intelligence and analytics software companies. Its products range from middleware, back-end databases and ETL tools to business intelligence applications and cloud platforms, and it is well established in many corporate and government accounts. A key to Oracle's ongoing success is in transitioning its business intelligence and analytics portfolio to self-service, big data and cloud deployments. To that end, three areas in which the company has...

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        Topics: Big Data, Customer Performance, endeca, OBIEE, OBIFS, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Oracle

        I recently attended a Cisco Collaboration analyst day in the U.K. and was impressed by what I heard and saw.Cisco of course is known as a supplier of network equipment and software, and it has long provided these through a global network of partners. But Cisco also has been in the contact center market for several years and has had success with its small and enterprise contact center systems, having more than 20,000 on-premises customers and revenue in excess of US $1.5 billion. Cisco markets...

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        Topics: Big Data, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        Business planning includes all of the forward-looking activities in which companies routinely engage. Companies do a great deal of planning. They plan sales and determine what and how they will produce products or deliver services. They plan the head count they’ll need and how to organize distribution and their supply chain. They also produce a budget, which is a financial plan. The purpose of planning is to be successful. Planning is defined as the process of creating a detailed formulation of...

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        Topics: Big Data, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Human Capital, Marketing, Office of Finance, Reporting, Sales Forecasting, Budgeting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Customer & Contact Center, Financial Performance, Business Planning, Supply Chain, Demand Planning, Integrated Business Planning, Project Planning, S&OP

        Last year Ventana Research released our Office of Finance benchmark research. One of the objectives of the project was to assess organizations’ progress in achieving “finance transformation.” This term denotes shifting the focus of CFOs and finance departments from transaction processing toward more strategic, higher-value functions. In the research nine out of 10 participants said that it’s important or very important for the department to take a more strategic role. This objective is both...

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        Topics: Big Data, Planning, Predictive Analytics, Governance, GRC, Office of Finance, Budgeting, close, end-to-end, Tax, Tax-Datawarehouse, Analytics, Business Performance, CIO, Financial Performance, In-memory, CFO, CPQ, Risk, CEO, Financial Performance Management, FPM

        Our recently published Office of Finance benchmark research assesses a broad set of functions and capabilities of finance organizations. We asked research participants to identify the most important issues for a finance department to address in a dozen functional areas: accounting, budgeting, cost accounting, customer profitability management, external financial reporting, financial analysis, financial governance and internal audit, management accounting, product profitability management,...

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        Topics: Mobile, Planning, Predictive Analytics, ERP, FP&A, Office of Finance, Reporting, Self-service, Budgeting, close, closing, computing, Controller, dashboard, Tax, Analytics, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, Data, finance, Financial Performance Management, FPM, Microsoft Excel, Spreadsheets

        This year presents much opportunity for organizations to use a new generation of technology to compete better, be more efficient in their business operations and engage their workforces to their full potential. We have identified and begun to track the following next-generation technologies: analytics, big data, collaboration, cloud computing, mobile technology and social media, and in 2014 we added wearable computing to the list. In 2015 we will intensify our focus on all of them specifically ...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Governance, Mobile Technology, Wearable Computing, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Risk & Compliance (GRC), Technology Innovation

        Our benchmark research into business technology innovation shows that analytics ranks first or second as a business technology innovation priority in 59 percent of organizations. Businesses are moving budgets and responsibilities for analytics closer to the sales operations, often in the form of so-called shadow IT organizations that report into decentralized and autonomous business units rather than a central IT organization. New technologies such as in-memory systems (50%), Hadoop (42%) and...

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        Topics: Big Data, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Preparation, Information Applications, Information Management, Operational Intelligence, analytical application, analytics in the cloud

        Genesys is best known as a provider of contact center management systems and has long provided computer/telephony integration (CTI) and single-queue call routing systems. Over the past few years it has had changes of ownership and now is a stand-alone company focused on providing systems to improve the customer experience. To do this its combines contact center infrastructure systems and a suite of workforce optimization applications. We included the suite in our 2015 Workforce Optimization...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Our recent Office of Finance benchmark research demonstrates the importance of using automation to execute finance department functions. Information technology systems do at least two things very well that make better use of people’s time, and both of them can substantially improve organizational performance. First, they eliminate the need for people to do repetitive tasks, which frees them to spend time on more valuable work that requires judgment and skill. IT systems also can be programmed...

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        Topics: Big Data, Mobile, Planning, ERP, FP&A, Office of Finance, Reporting, Self-service, Budgeting, close, closing, computing, Controller, dashboard, Tax, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, Data, finance, Financial Performance Management, FPM, Microsoft Excel, Spreadsheets

        I recently wrote about customer experience lessons I learned during 2014 and the technologies required to deliver EPIC experiences. Both of these analyses focus on the people, processes, information and technologies required to improve the customer experience at every touch point, and these themes will also be at the heart of our customer technology research agenda for 2015.

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Actuate, a company known for powering BIRT, the open source business intelligence technology, has been delivering large-scale consumer and industrial applications for more than 20 years. In December the company announced it would be acquired by OpenText of Ontario, Canada. OpenText is Canada’s largest software vendor with more than 8,000 employees and a portfolio of enterprise information management products. It serves primarily large companies. The attraction of Actuate for such a company can...

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        Topics: Big Data, F-Type, OpenText, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Operational Intelligence, Digital Technology

        Customer Experience was one of the subjects most talked and written about during 2014, and I expect this to continue in 2015. Many observers and analysts, including me, believe it can be the difference between companies succeeding or going out of business. Yet debate continues to define what customer experience is and how to manage it. Some think the best tools are “voice of the customer” information and systems that enable companies to track and understand customer sentiments and likely...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        As with many other research topics, Ventana Research investigates workforce optimization in two ways. Our benchmark research into next-generation workforce optimization assesses how companies use workforce optimization systems now and intend to in the future, while our Workforce Optimization Value Index evaluates how well workforce optimization products and vendors match buyers’ needs. In our newly released 2015 Workforce Optimization Value Index the top vendors are Verint and VPI, both rated...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        In 2014, IBM announced Watson Analytics, which uses machine learning and natural language processing to unify and simplify the user experience in each step of the analytic processing: data acquisition, data preparation, analysis, dashboarding and storytelling. After a relatively short beta testing period involving more than 22,000 users, IBM released Watson Analytics for general availability in December. There are two editions: the “freemium” trial version allows 500MB of data storage and...

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        Topics: Data Visualization, Predictive Analytics, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Information Management, Data Discovery, Watson

        Verint is a well-established vendor of workforce optimization systems. It recently acquired KANA Software, as I discussed, which enabled Verint to move further into the customer engagement market. Now Verint has combined the two companies’ range of analytics products to create Verint Engagement Analytics.

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Organizations today create and collect data at ever faster rates, and this introduces challenges in ensuring that data is not just managed but used in a consistent manner for a range of operational and analytic tasks. This is made more difficult by new data sources whose definitions vary from standard and widely used formats. Making all information available and consistent is essential to support business processes and decision-making. A key technology tool for this effort is master data...

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        Topics: Big Data, Data Quality, Master Data Management, Sales, Sales Performance, Social Media, Supply Chain Performance, Golden Records., MDM, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Data Management, Financial Performance, Information Applications, Information Management, Workforce Performance

        When Salesforce.com began in 1999 its stated intent was “to reinvent CRM in the cloud.” In 15 years, the company has achieved much more than that, having a major impact on the way IT systems are delivered: Large numbers of vendors have followed its example to provide cloud-based systems. It added a platform as a cloud – a software development environment in the cloud – to its portfolio, introduced an apps store where many vendors sell their products and services, moved into social and mobile...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        During this year talk has been widespread about the customer experience, which is good. What is not so good is that, according to my benchmark research into next-generation customer engagement, most companies still struggle to deliver satisfying experiences. However, the research and my discussions with users and vendors lead to some clear conclusions:

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        The Ventana Research Value Index for Workforce Optimization in 2015 is now released. Workforce optimization covers all aspects of managing everyone who handles customer interactions and is thus vital to improve operational efficiency, and customer and employee satisfaction. It includes the following applications: interaction capture, quality monitoring and assurance, workforce management, coaching and learning management, variable compensation management, and interaction and agent analytics....

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        Topics: Big Data, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        Interactive Intelligence is a well-established supplier of contact center systems and just celebrated its 20th anniversary. Customer Interaction Center (CIC) is its on-premises product, which provides integrated management of multiple communication channels and supports a high degree of customization. Communications as a Service (CaaS) is a virtual private cloud (for single tenants) version of CIC and as such offers less potential for customization. Recently Interactive Intelligence released ...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Those of us who have been in the technology industry for many years remember the phrase “No one ever got fired for buying IBM.” Then IBM was both a hardware and a system software vendor, and most IT managers new that hardly anyone would question a decision to go with IBM. These days IBM has done extensive marketing to make itself known for everything “smart” – planets, cities, commerce and of course technology. While its website suggests it offers a limited number of software products, in fact...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        A company’s enterprise resource planning (ERP) system is one of the pillars of its record-keeping and process management architecture and is central to many of its critical functions. It is the heart of its accounting and financial record-keeping processes. In manufacturing and distribution, ERP manages inventory and some elements of logistics. Companies also may use it to handle core human resources record-keeping and to store product and customer master data. Often, companies bolt other...

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        Topics: Sales Performance, Supply Chain Performance, ERP, Office of Finance, Operational Performance, Analytics, Business Performance, CIO, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, Data, HR

        SYSPRO is a 35-year-old ERP vendor that focuses on products for midsize companies, particularly those in manufacturing and distribution. In manufacturing, SYSPRO supports make, configure and assemble, engineer to order, make to stock and job shop environments. The company attempts to differentiate itself through vertical specialization and its years of ongoing development, which can reduce the need for customization and cut the cost of initial and ongoing configuration to suit the needs of...

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        Topics: Performance Management, Supply Chain Performance, ERP, Human Capital Management, Office of Finance, Reporting, cloud ERP, container, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Collaboration, Dashboards, Financial Performance, Supply Chain, SCM, S&OP, Digital Technology

        PentahoWorld, the first user conference for this 10-year-old supplier of data integration and business intelligence that provides business analytics, attracted more than 400 customers in roles ranging from IT and database professionals to business analysts and end users. The diversity of the crowd reflects Pentaho’s broad portfolio of products. It covers the integration aspects of big data analytics with the Pentaho Data Integration tools and the front-end tools and visualization with the ...

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        Topics: Big Data, Pentaho, Governance, IT Research, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Operational Intelligence, Risk & Compliance (GRC), PDI

        Financial management software provider Intacct recently held its seventh annual user conference. In addition to a long list of enhancements in current and upcoming product releases, the company used the occasion to announce Intacct Collaborate, a capability built into its software that enables finance and accounting organizations to work together to answer questions or resolve issues while performing a process. Our benchmark research shows that collaboration ranks second in importance behind...

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        Topics: Performance Management, Sales Performance, Salesforce.com, ERP, Human Capital Management, NetSuite, Office of Finance, Reporting, cloud ERP, Analytics, Business Analytics, Business Collaboration, Business Performance, Chatter, Cloud Computing, Collaboration, Dashboards, Financial Performance, FinancialForce, Intacct

        At this year's Dreamforce more than 140,000 people gathered in San Francisco to share the excitement about the use of technology for business. Salesforce.com’s annual conference has reached megashow status, which is a mixed blessing: Dreamforce remains social in its design, but it has become impersonal due to its size. In any case Salesforce had plenty to show off. The company has continued to enhance its cloud-based business applications for sales and customer service, and in the last year it...

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        Topics: Sales, Sales Performance, Salesforce.com, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center

        Most HR technology practitioners and vendors attend the annual HR Technology Conference and Exposition. One of the largest industry gatherings, it provides an indicator of their levels of investment and the hottest trends. This year’s event revealed new technologies and approaches to two key human resources processes – recruitment and retention. They included predictive analytics and big data as well mobile delivery to allow employees easier access to applications. Regarding the first two,...

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        Topics: Social Media, Kronos, Peoplefluent, Recruiting, Wearable Computing, Fuel50, Operational Performance, Smart Watches, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, IBM, Oracle, Workforce Performance, Ceridian, HireVue, Saba, HR Tech, HR Technology Conference, Qualtrics, Tanner Labs

        Finance transformation” refers to a longstanding objective: shifting the focus of CFOs and finance departments from transaction processing to more strategic, higher-value functions. Our upcoming Office of Finance benchmark research confirms that most of organizations want their finance department to take a more strategic role in management of the company: nine in 10 participants said that it’s important or very important. (We are using “finance” in its broadest sense, including, for example,...

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        Topics: Big Data, Mobile, Performance Management, Predictive Analytics, Social Media, ERP, FP&A, Office of Finance, Reporting, Management, close, closing, computing, Controller, Tax, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, finance, Tagetik, FPM

        When applying information technology to drive better business performance, companies and the systems integrators that assist them often underestimate the importance of organizing data management around processes. For example, companies that do not execute their quote-to-cash cycle as an end-to-end process often experience a related set of issues in their sales, marketing, operations, accounting and finance functions that stem from entering the same data into multiple systems. The inability to...

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        Topics: Big Data, Mobile, Sales Performance, Supply Chain Performance, ERP, Office of Finance, Operations, Management, close, closing, computing, end-to-end, Operational Performance, Analytics, Business Performance, Cloud Computing, Data Management, Information Applications, Information Management, CRM, Data, finance, FPM

        Qlik was an early pioneer in developing a substantial market for a visual discovery tool that enables end users to easily access and manipulate analytics and data. Its QlikView application uses an associative experience that takes  an in-memory, correlation-based approach to present a simpler design and user experience for analytics than previous tools. Driven by sales of QlikView, the company’s revenue has grown to more than $.5 billion, and originating in Sweden it has a global presence.

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        Topics: Big Data, Data Visualization, QlikView, Sales Performance, Supply Chain Performance, Tableau, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Data Discovery, Lumira, Qlik, Qlik Qlik Sense

        Finance and accounting departments are staffed with numbers-oriented, naturally analytical people. Strong analytic skills are essential if a finance department is to deliver deep insights into performance and visibility into emerging opportunities and challenges. The conclusions of analyses enable fast, fully informed business decisions by executives and managers. Conversely, flawed analyses undermine the performance of a company. So it was good news that in our Office of Finance benchmark...

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        Topics: Big Data, Mobile, Planning, Predictive Analytics, ERP, FP&A, Office of Finance, Reporting, Self-service, Budgeting, close, closing, computing, Controller, dashboard, Tax, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, Data, finance, Tagetik, Financial Performance Management, FPM, Microsoft Excel, Spreadsheets

        This year Oracle OpenWorld conference opened with a fiery speech by Larry Ellison, who has stepped down from his role as CEO to become Executive Chairman and CTO. Filling his rhetoric with claims of market leadership and attacks on competitors SAP and Workday, Ellison set an aggressive tone for those who followed him. In a talk relevant to my research practice, Chris Leone, senior vice president of applications development, asserted that Oracle is making progress in human capital management...

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        Topics: Mobile, Social Media, HCM, Human Capital Analytics, Human Capital Management, Core HR, Employee Engagement, Platform as a service, TM, Wellness, Analytics, Business Collaboration, Cloud Computing, Collaboration, Mobility, Oracle, HRMS, Talent Management, Social, PaaS

        Tableau Software introduced its latest advancements in analytics and business intelligence software along with its future plan to more than 5,000 attendees at its annual user conference in its home town of Seattle. The enthusiasm of the primarily millennial-age crowd reflected not only the success of the young company but also its aspirations. The market for what Ventana Research calls visual and data discovery and Tableau have experienced rapid growth that is likely to continue.

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        Topics: Big Data, Data Visualization, Sales Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Operational Intelligence, Data Discovery, Tableau Software

        I recently wrote about NICE Systems expanding beyond workforce optimization, including more analytics in its product portfolio.

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Infor recently held its annual Inforum user group meeting, along with a series of sessions with analysts. The $2 billion business software company has products in the major categories of ERP (including enterprise financial management), human capital management, customer relationship management and performance management among others.

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        Topics: Microsoft, Mobile, SaaS, Sales, Sales Performance, Salesforce.com, Supply Chain Performance, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Kenandy, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, FinancialForce, HR, Infor, Workday, HANA, Plex, Professional Services Automation

        ADP recently held its annual analyst day in the company’s new innovation center in the Chelsea district of Manhattan. The location emphasized what ADP wanted to get across to the analyst community at the event: that it intends to become a significant vendor of human capital management (HCM) software based in the cloud. ADP hopes to broaden its business from being largely an outsourcing vendor of payroll and related services (such as for auto dealers) to one that provides software for a range of...

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        Topics: Big Data, Mobile, Social Media, HCM, Human Capital Management, Office of Finance, Predictive, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Mobility, Workforce Performance, compliance, HR, HRMS, Healthcare Compliance

        Like most vendors of on-premises ERP and financial management software, in moving to the cloud Oracle has focused on developing for existing and potential customers the option of multitenant software as a service (SaaS). (I’m using the term “ERP” in its most expansive sense, to include such systems employed by all types of companies for accounting and financial management rather than only systems that are used by manufacturing and distribution companies.) Oracle’s ERP Cloud Service includes ...

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        Topics: Microsoft, Mobile, SaaS, Sales, Salesforce.com, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Kenandy, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, HANA, Plex, Professional Services Automation

        FinancialForce’s 2014 summer release incorporates improvements in mobile and collaboration features and provides enhancements to the planning dimension of its professional services automation (PSA) suite. In the last couple of releases the company emphasized expansion in the functional capabilities of its ERP suite, as I noted, focusing on human capital management and professional services automation as well as some supply chain automation capabilities.

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        Topics: SaaS, Sales, Sales Performance, Salesforce.com, Social Media, ERP, HCM, Human Capital, Office of Finance, Consulting, distribution, PSA, Unit4, Analytics, Business Performance, Cloud Computing, Financial Performance, FinancialForce, HR, Professional Services Automation, SCM

        “What’s next?” is the perennially insistent question in information technology. One common observation about the industry holds that cycles of innovation alternate between hardware and software. New types and forms of hardware enable innovations in software that utilize the power of that hardware. These innovations create new markets, alter consumer behavior and change how work is performed. This, in turn, sets the stage for new types and forms of hardware that complement these emerging product...

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        Topics: Mobile, Performance Management, Predictive Analytics, Sales Performance, Supply Chain Performance, ERP, Office of Finance, Reporting, Wearable Computing, Management, close, closing, computing, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Workforce Performance, finance, FPM

        I recently wrote about NICE Systems’ acquisition of Causata to enhance its analytics capabilities and expand from workforce optimization into customer experience management. NICE recently released Customer Engagement Analytics, which is designed to analyze customer interaction data to help companies improve the customer experience at every touch point. NICE calls this optimizing the customer journey.

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        Topics: Customer Analytics, Customer Experience, Operational Performance, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        I’ve written before about the increasing importance of having a solid technology base for a company’s tax function, and it’s important enough for me to revisit the topic. Tax departments are entrusted with a highly sensitive and essential task in their companies. Taxes usually are the second largest corporate expense, after salaries and wages. Failure to understand this liability is expensive – either because taxes are overpaid or because of fines and interest levied for underpayment. Moreover,...

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        Topics: ERP, Governance, GRC, Office of Finance, audit, finance transformation, LongView, Tax, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Information Management, Oracle, CFO, Risk & Compliance (GRC), Vertex, FPM, Innovation Awards, Thomson-Reuters multinational

        It’s widely agreed that cloud computing is a major technology innovation. Many companies use cloud-based systems for specific business functions such as customer service, sales, marketing, finance and human resources. More generally, however, analytics and business intelligence (BI) have not migrated to the cloud as quickly. But now cloud-based data and analytics products are becoming more common. This trend is most popular among technology companies, small and midsize businesses, and...

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        Topics: Big Data, SaaS, Sales Performance, Social Media, Governance, Statistics, cloud analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Internet of Things, Location Intelligence, Operational Intelligence, Workforce Performance, Risk & Compliance (GRC), cloud business intelligence

        The human resources management system (HRMS) have been a central part of human resources departments for decades. Though useful to HR, these systems have also been static. Speaking generally, their functionality has not advanced greatly while other technologies have made great strides, and the information in them has been restricted to mostly use by HR professionals. However, along with growth in distinct and integrated talent management systems and in workforce management systems, this has...

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        Topics: Big Data, Mobile, Social Media, HCM, TM, WFM, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Information Applications, Workforce Performance, HRMS, Talent Management, Workforce Management, HR Management, HRIS

        Now available from Ventana Research is our Value Index on Total Compensation Management for 2014.  Total compensation management directly addresses one of an organization’s largest investments – employee pay. As such it is a critical activity for supporting other human capital management and talent management processes.

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        Topics: SAP, Human Capital Management, Kenexa, Peoplefluent, SuccessFactors, Decusoft, Towers Watson, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Financial Performance, IBM, Mobility, Oracle, Workforce Performance, Compensation, SumTotal Systems, TCM, Value Index, beqom, Pay for Performance

        Oracle has a large and diverse set of products and now has most of its business applications operating in the private and public cloud. However, some recent acquisitions have enabled it to focus on cloud-based-products for managing the customer experience. Our next generation customer engagement research has found that customer experience is the top impetus for improving customer engagement as found by almost three quarters (74%) of organizations. Oracle has created a customer experience suite...

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        Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Social CRM, Mobile Apps, Operational Performance, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        In the past year Workday has been making efforts to improve its human capital management (HCM) suite focused directly on the core human resources management systems and talent management software. In my previous analyst perspective about Workday I looked at its mobile capabilities for HCM. These additions, in concert with the enhancements discussed here, offer useful improvements. I have also noticed changes in the HCM market that impact all large competitors in it, including Workday. Before...

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        Topics: Big Data, Mobile, Social Media, HCM, Recruiting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Customer & Contact Center, Workforce Performance, Workday, HR/Payroll

        One of the charitable causes to which I devote time puts on an annual vintage car show. The Concours d’Élegance dates back to 17th century France, when wealthy aristocrats gathered with judges on a field to determine who had the best carriages and the most beautiful horsepower. Our event serves as the centerpiece of a broader mission to raise money for several charitable organizations. One of my roles is to keep track of the cars entered in the show, and in that capacity I designed an online...

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        Topics: Planning, Sales Performance, Supply Chain Performance, Office of Finance, Reporting, Self-service, Budgeting, dashboard, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Workforce Performance, Data, Financial Performance Management, Microsoft Excel, Spreadsheets

        Our benchmark research consistently shows that business analytics is the most significant technology trend in business today and acquiring effective predictive analytics is organizations’ top priority for analytics. It enables them to look forward rather than backward and, participate organizations reported, leads to competitive advantage and operational efficiencies.

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        Topics: Big Data, Predictive Analytics, Sales Performance, Statistics, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance

        Like other vendors of cloud-based ERP software, NetSuite offers the key benefits of software as a service (SaaS): a smaller upfront investment, faster time to value and potentially lower operating costs. Beyond that NetSuite’s essential point of competitive differentiation from is broad functionality beyond financial management, including capabilities for customer relationship management (CRM), professional services automation (PSA) and human capital management (HCM). These components make it...

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        Topics: Microsoft, Mobile, SaaS, Sales, Social Media, Customer Experience, ERP, HCM, Human Capital, Office of Finance, communications, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, PSA, Sage Software, UI, Unit4, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Workforce Performance, CFO, CRM, FinancialForce, HR, Infor, Social, Financial Performance Management, FPM, Plex, Professional Services Automation, Workday Collaboration

        During recent IBM analyst big data event, I learned about a new product, IBM Predictive Customer Intelligence. It extracts and processes customer-related data from multiple sources to analyze customer-related activities and has capabilities to predict customer behavior and actions. Predictive Customer Intelligence is built on IBM’s big data platform and supports extraction and integration of data from multiple sources, internal and external, and from structured and unstructured data. It can...

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        Topics: Social Media, Customer Analytics, Customer Experience, Voice of the Customer, IBM Predictive Customer Intelligence, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, IBM, Information Applications, Call Center, Contact Center, Contact Center Analytics, IBM Watson, Text Analytics

        Mobility continues to be a hot adoption area in business intelligence, according to our research across analytics and line of business departments. Nearly three-quarters (71%) of organizations said their mobile workforce would be able to access BI capabilities in the next 12 months according to our next generation mobile business intelligence research. Roambi, a provider of mobile business intelligence applications, has made important strides this year after moving to deploying its products in...

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        Topics: Mobile Business Intelligence, Sales Performance, flow, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Roambi, box, Digital Technology

        Tagetik provides financial performance management software. One particularly useful aspect of its suite is the Collaborative Disclosure Management (CDM). CDM addresses an important need in finance departments, which routinely generate highly formatted documents that combine words and numbers. Often these documents are assembled by contributors outside of the finance department; human resources, facilities, legal and corporate groups are the most common. The data used in these reports almost...

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        Topics: Big Data, Mobile, ERP, Human Capital Management, Modeling, Office of Finance, Reporting, Budgeting, close, closing, Consolidation, Controller, Finance Financial Applications Financial Close, IFRS, XBRL, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), CFO, compliance, Data, benchmark, Financial Performance Management, financial reporting, FPM, GAAP, Integrated Business Planning, Profitability, SEC Software

        The developed world has an embarrassment of riches when it comes to information technology. Individuals walk around with far more computing power and data storage in their pockets than was required to send men to the moon. People routinely hold on their laps what would have been considered a supercomputer a generation ago. There is a wealth of information available on the Web. And the costs of these information assets are a tiny fraction of what they were decades ago. Consumer products have...

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        Topics: Big Data, Mobile, Predictive Analytics, Sales Performance, Social Media, Customer Experience, Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, finance, Sales Performance Management, Social, Financial Performance Management, SPSS

        Cornerstone OnDemand is a large pure-play vendor of talent management software, with more than 1,700 clients, more than 14.5 million users and more than 60 percent growth in revenue over the past 12 months. At the company’s annual customer conference this year, CEO Adam Miller talked about a trend in the market of talent management applications going beyond automating a series of processes to help engage employees within organizations. I agree with this analysis and would extend the trend to...

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        Topics: Social Media, Human Capital Analytics, Human Capital Management, LMS, Employee Engagement, Employee Onboarding, Usability, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Workforce Performance, Cornerstone OnDemand

        Information Builders announced two major new products at its recent annual user summit. The first was InfoDiscovery, a tool for ad hoc data analysis and visual discovery. The second was iWay Sentinel, which allows administrators to manage applications in a proactive and dynamic manner. Being a privately held company, Information Builders is not a household name, but it is a major provider of highly scalable business intelligence (BI) and information management software to companies around the...

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        Topics: Mobile, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Builders, Information Management, Internet of Things, Operational Intelligence, InfoDiscovery

        By its own admission, SAS has a very large software portfolio (of more than 250 individual products), and it continues to develop and release more products and updates to existing ones. Some of the products are sold alone, and others are bundled into “enterprise solutions”. Some are for technical users, and others are business applications. This complexity can make it hard to identify which product or bundle serves a particular need. Three are most relevant to my research practice: Customer...

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        Topics: Social Media, Customer Analytics, Customer Experience, Mobile Apps, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        Last year I assessed how Nexidia had advanced its products to support customer interaction analytics. Since then the market has changed, and Nexidia continues to expand its products to meet a broader set of needs for analyzing and optimizing customer interactions. Companies are recognizing that they need complete information about their customers, including interactions, and need to change the metrics they use to monitor and assess customer-related activities. My research into next-generation...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Nexidia, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        Much has been written about how cloud computing changes the way businesses source their software and services. For software companies, instead of being installed inside the company, software like business applications run on a computer installed at an external site. If the external site is not shared with any other business, this is called a private cloud; if it is owned and operated by a third party and supports more than one business, it is called a public cloud. In the case of public clouds,...

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        Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Financial Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        Longview Solutions has a longstanding presence in the financial performance management (FPM) software market and was rated a Hot vendor in our most recent FPM Value Index. Several years ago it began offering a tax provision and planning application. I think it’s worthwhile to focus on the tax category because it’s less well known than others in finance and is an engine of growth for Longview. We expect larger corporations increasingly to adopt software to manage direct (income) taxes to improve...

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        Topics: ERP, GRC, Office of Finance, audit, finance transformation, LongView, Tax, Analytics, Business Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), CFO, FPM, Innovation Awards

        8x8, Inc. was founded in the 1980’s to provide semiconductor products to the emerging personal computer market; in 2002 it was relaunched to focus on Voice over IP (VoIP) services. By 2008 it had become the second-largest independent VoIP provider in the U.S., and its product, Virtual Office, was widely used by businesses for telecommunications. In 2011 8x8 acquired Contactual and entered the cloud-based call center market. Today the company brands itself as a “communication and collaboration...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Unified Communications

        Teradata continues to expand its information management and analytics technology for big data to meet growing demand. My analysis last year discussed Teradata’s approach to big data in the context of its distributed computing and data architecture. I recently got an update on the company’s strategy and products at the annual Teradata analyst summit. Our big data analytics research finds that a broad approach to big data is wise: Three-quarters of organizations want analytics to access data from...

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        Topics: Big Data, Sales Performance, Supply Chain Performance, Teradata, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, NoSQL, Workforce Performance, JSON, UDA

        In an analyst perspective at the beginning of this year I wrote that sales organizations must step beyond conventional wisdom to generate the best outcomes. One such step is to invest in software that delivers immediate value to manage sales and be efficient in its operations. Our latest research on sales organizations finds that inconsistent execution (53%), scattered information (48%) and limited visibility (42%) are motivating investment to improve sales. At CompCloud, its annual conference,...

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        Topics: Sales, Sales Performance, Forecast, Sales Commission, Sales Compensation, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Insights, Quotas, Xactly

        The keynote theme at this year’s Sapphire conference in Orlando was Simple. Top executives from SAP, a software company associated with complexity, stated and restated that its future direction is to simplify all aspects of its products and the ways customers interact with them and the company itself. SAP’s longstanding and commendable aspiration to thoroughness in its software will be giving way to an emphasis on elegance in its engineering. This objective is more than admirable – SAP’s future...

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        Topics: Microsoft, Mobile, SaaS, Sales, Salesforce.com, Supply Chain Performance, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Kenandy, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, HANA, Plex, Professional Services Automation

        NICE Systems is best known for its suite of workforce optimization products [http://www.nice.com/workforce-optimization-lobby] that I recently assessed. However, after attending its user event last year, I wrote in 2013 that it was extending its portfolio and changing its focus to concentrate on packaged solutions that address specific business needs. Over the years the company’s portfolio has evolved through a combination of in-house development, acquisitions and partnerships. This approach...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Force Optimization

        Tibco’s recent acquisition of Jaspersoft helps the company fill out its portfolio of business intelligence (BI) and reporting software in an increasingly competitive marketplace. Tibco already offered a range of products in BI and analytics including Tibco Spotfire, an established product for visual data discovery. Jaspersoft and its open source Java reporting tool JasperReports have been around since 2001, and the company says it has 16 million product downloads worldwide, 140,000 production...

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        Topics: Data Visualization, Spotfire, embedded analytics, Jaspersoft, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Operational Intelligence, Tibco

        Epicor used its recent user group conference to explain its strategic direction and product roadmap. The company is the result of multiple mergers of business software corporations over the past 15 years; its target customers are midsize companies and midsize divisions of larger organizations. Its most significant products are Epicor (ERP software aimed mainly at manufacturing and distribution companies) and Activant Solutions (software for small and midsize retailers, including a point-of-sale...

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        Topics: Microsoft, Mobile, SaaS, Sales, Supply Chain Performance, Customer Experience, ERP, HCM, Human Capital, Office of Finance, communications, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Epicor, Sage Software, UI, Unit4, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, FinancialForce, HR, Infor, Workday, Social, Financial Performance Management, FPM, Plex

        Alteryx has released version 9.0 of Alteryx Analytics that provides a range of data to predictive analytics in advance of its annual user conference called Inspire 2014. I have covered the company for several years as it has emerged as a key player in providing a range of business analytics from predictive to big data analytics. The importance of this category of analytics is revealed by our latest benchmark research on big data analytics, which finds that predictive analytics is the most...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, alteryx, data blending, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Location Intelligence, Operational Intelligence

        InContact has cloud-based products that cover multichannel communications infrastructure (sometimes referred to as a “contact center in the cloud”) and workforce optimization. The channel management products were developed by inContact and through a partnership with Verint. InContact has been working to make Verint’s workforce optimization products available in the cloud while integrating the two sets of products. I met Kristyn Emenecker, inContact’s VP of workforce optimization, at the recent...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Force Optimization

        At Saba’s recent global customer conference executives discussed the company’s latest product enhancements, progress made during the past year and plans for the future. Saba provides a talent management suite that includes all capabilities except compensation management and is a leading vendor of corporate learning management systems. The majority of its 2,200 customers and 31 million users in 195 countries use the learning system, Learning@Work.

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        Topics: Big Data, Mobile, Social Media, HCM, Human Capital Management, Predictive, Recruiting, Learning Management, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, Saba, Talent Management

        I recently presented at the 2014 ICMI Contact Center Expo and Conference and have a few insights I want to share. I was impressed by the two main keynote speeches. In the first Bill Rancic, an entrepreneur, author and TV personality, talked about “How to Succeed in Business and Life.” Bill is not in the contact center industry, but he reminded the audience that individuals and companies that succeed in life and business grab opportunities when they come along. He went on to say that consumers...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        On its website Panviva describes itself as providing “business process guidance,” which is a phrase I was notfamiliar with. As I searched the site, I found messages such as”it’s all about customer experience,” “the right information for the right person at the right time” and “navigating complexity.” All of these describe issues contact center agents face on a daily basis, and I concluded that Panviva competes in a space I track. My benchmark research into the agent desktop and its impact on...

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        Topics: Customer Experience, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Business Process Management, Call Center, Contact Center

        My benchmark research into the smart agent desktop finds that in nearly two-thirds (65%) of companies, contact center agents have to access multiple systems as they try to resolve customer interactions. These range from channel management systems (such as telephone, email, text messages and social media) to business applications (such as CRM, ERP and knowledge management), performance dashboards and analysis, and messaging systems. Having to use all these systems leads agents to make mistakes,...

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        Topics: Sales Performance, Social Media, Customer Experience, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Workforce Force Optimization

        From my perspective, Infor’s strategy to accelerate revenue growth is to offer companies more innovation and a lower and more predictable cost of ownership than its rivals in the business software market; its products include the major categories of ERP, human resources and financial performance management. It aims to innovate by focusing on improving the user experience and to lower costs by redesigning its software architecture. The innovation stems from a fresh approach to designing...

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        Topics: Microsoft, Mobile, SaaS, Sales, Sales Performance, Supply Chain Performance, Customer Experience, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Sage Software, UI, Unit4, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance, CFO, FinancialForce, HR, Infor, Workday, Financial Performance Management, FPM, Plex

        Learning is an integral component of human capital management, and a new generation of learning management systems advances learning in organizations around the world. These systems have evolved over the years from a classroom scheduling tool that facilitated instructor-led and classroom training into an array of enterprise applications that deliver and track various types of training. Recently new technologies, such as business analytics, cloud computing, social collaboration, and mobile...

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        Topics: Big Data, Mobile, Social Media, HCM, LMS, Learning Management, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, Workforce Performance, HR, Training, benchmark, HR research

        Our research consistently finds that data issues are a root cause of many problems encountered by modern corporations. One of the main causes of bad data is a lack of data stewardship – too often, nobody is responsible for taking care of data. Fixing inaccurate data is tedious, but creating IT environments that build quality into data is far from glamorous, so these sorts of projects are rarely demanded and funded. The magnitude of the problem grows with the company: Big companies have more...

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        Topics: Big Data, Planning, Predictive Analytics, Governance, Office of Finance, Budgeting, close, Finance Analytics, Tax, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Financial Performance, Governance, Risk & Compliance (GRC), In-memory, Information Applications, CFO, Risk, CEO, Financial Performance Management, FPM

        Organizations should consider multiple aspects of deploying big data analytics. These include the type of analytics to be deployed, how the analytics will be deployed technologically and who must be involved both internally and externally to enable success. Our recent big data analytics benchmark research assesses each of these areas. How an organization views these deployment considerations may depend on the expected benefits of the big data analytics program and the particular business case...

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        Topics: Big Data, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Operational Intelligence, Workforce Performance, Strata+Hadoop

        Business computing has undergone a quiet revolution over the past two decades. As a result of having added, one-by-one, applications that automate all sorts of business processes, organizations now collect data from a wider and deeper array of sources than ever before. Advances in the tools for analyzing and reporting the data from such systems have made it possible to assess financial performance, process quality, operational status, risk and even governance and compliance in every aspect of a...

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        Topics: Big Data, Planning, Predictive Analytics, Governance, Office of Finance, Budgeting, close, Finance Analytics, Tax, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Financial Performance, Governance, Risk & Compliance (GRC), In-memory, Information Management, CFO, Risk, CEO, Financial Performance Management, FPM

        SAP recently presented its analytics and business intelligence roadmap and new innovations to about 1,700 customers and partners using SAP BusinessObjects at its SAP Insider event (#BI2014). SAP has one of the largest presences in business intelligence due to its installed base of SAP BusinessObjects customers. The company intends to defend its current position in the established business intelligence (BI) market while expanding in the areas of databases, discovery analytics and advanced...

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        Topics: Predictive Analytics, SAP, Business Objects, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, KXEN, Operational Intelligence, HANA, Lumira, SAP insider

        Pressure to comply with requirements of the Affordable Care Act (ACA) is a looming challenge for most organizations today. Many go through numerous manual iterations such as running reports and compiling data into spreadsheets from benefits, payroll and HR systems to calculate whether their employees are eligible. As my colleague Stephan Millard explains in “Is Your Organization Technology Ready for the Affordable Care Act?”, the ACA applies to organizations with 50 or more full-time employees...

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        Topics: Equifax, Human Capital Analytics, Office of Finance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Workforce Performance

        In my research of NICE Systems for several years I have remarked often that its biggest challenge is to integrate all the products that now make up its Customer Interaction Management suite. Through acquisitions, in-house development and partnerships, this suite has grown to include interaction recording, quality management, workforce management, incentive management, interaction analytics, performance management, real-time guidance, customer feedback management, mobile access and Web-based...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Force Optimization

        SAS Institute, a long-established provider analytics software, showed off its latest technology innovations and product road maps at its recent analyst conference. In a very competitive market, SAS is not standing still, and executives showed progress on the goals introduced at last year’s conference, which I covered. SAS’s Visual Analytics software, integrated with an in-memory analytics engine called LASR, remains the company’s flagship product in its modernized portfolio. CEO Jim Goodnight...

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        Topics: Predictive Analytics, IT Performance, LASR, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloudera, Customer & Contact Center, Hortonworks, IBM, Information Applications, SAS institute, Strata+Hadoop

        There’s a growing realization that the multitenant approach to the cloud isn’t the only option that companies should weigh in deciding between deploying software on-premises and in the cloud. That some people describe the multitenancy approach as “the real cloud” reflects the contentious nature of some technical debates, especially those that occur early in the evolution of a new technology. Multitenancy does have advantages that confer cost savings, and these have been important in the first...

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        Topics: Microsoft, Mobile, SaaS, Sales, Salesforce.com, ERP, HCM, Human Capital, Office of Finance, Planview, Concur, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, PSA, Sage Software, Unit4, Analytics, Business Performance, Cloud Computing, Financial Performance, Workforce Performance, CFO, FinancialForce, HR, Infor, Tagetik, Workday, Plex

        Our recently released research into next-generation customer analytics shows that the most participants (52%) use spreadsheets as a customer analytics tool. I recently wrote that while these popular tools are adequate for some tasks, they are not suitable for analyzing large volumes and many types of customer data. So I think it is appropriate that one in four (26%) participants have adopted a dedicated customer analytics tool and a further 29 percent are planning to invest in such a tool in...

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        Topics: Social Media, Customer Analytics, Speech Analytics, Voice of the Customer, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics

        At its recent 2014 analyst day Ceridian showed the progress it has made on its Ceridian and Dayforce human capital management (HCM) platform since last year’s launch of its broader HCM portfolio. Ceridian’s overall HCM business, which the company says had revenue of $950 million in 2013 and now has more than 100,000 customers, consists largely of payroll-related products and services such as tax filing and payroll cards, but also benefits, human resources and workforce management products.

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        Topics: Mobile, SaaS, Social Media, HCM, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Workforce Performance, Ceridian, Document Management, HR, Talent Management

        We recently released our benchmark research on big data analytics, and it sheds light on many of the most important discussions occurring in business technology today. The study’s structure was based on the big data analytics framework that I laid out last year as well as the framework that my colleague Mark Smith put forth on the four types of discovery technology available. These frameworks view big data and analytics as part of a major change that includes a movement from designed data to...

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        Topics: Big Data, Pentaho, Predictive Analytics, Sales Performance, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Datawatch

        The last time I reviewed Confirmit it had just acquired CustomerSat and was re-engineering its products to support a broader approach to voice of the customer (VOC), which Ventana Research defines as a complete view of customer interactions, customer sentiments after interactions and the outcomes of those interactions. During my latest briefing, I found out that the new architecture will be available in version 18 of the product, which Confirmit recently announced as generally available....

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics, Unified Communications

        Information technologists are fond of predictions in which the next big thing quickly and entirely renders the existing thing so completely obsolete that only troglodytes would cling to such outmoded technology. While this vision of IT progress may satisfy the egos of technologists, it rarely reflects reality. Mainframes didn’t disappear, for example. Although they long ago lost their dominant position, many remain key parts of corporate computing infrastructures. The IT landscape is a hybrid...

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        Topics: Microsoft, SaaS, Sales, Salesforce.com, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, PSA, Sage Software, Unit4, Analytics, Business Performance, Cloud Computing, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, Plex, Professional Services Automation

        Building a contact center is growing in complexity as companies struggle to support customers’ ever-higher expectations. Customers now insist on engaging with companies through the channel of their choice, often from a mobile device, and at a time of their choosing. If they interact with a person, they expect that person to have the social and technical skills to resolve their issues quickly and effectively. If they use any form of self-service, they expect the technology to help rather get in...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        Convergence is the Microsoft Dynamics business software user group’s meeting. Dynamics’ core applications are mainly in the accounting and ERP category, descendants of products Microsoft acquired: Great Plains (now GP), Solomon (SL), Navision (NAV) and Damgaard’s Axapta (AX), to which Microsoft has added its own CRM application. It has been more than a decade since the acquisitions of Great Plains (which itself had already purchased Solomon Software), and Navision, Damgaard and the software...

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        Topics: Microsoft, SaaS, Sales, Sales Performance, Salesforce.com, ERP, HCM, Human Capital, Office of Finance, Consulting, distribution, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, Plex, Professional Services Automation

        At its recent Connect 2014 event IBM announced IBM Kenexa Talent Suite, an integrated talent management suite. The release strengthens its Smarter Workforce initiative by combining IBM and Kenexa products and services in one human capital management (HCM) offering. IBM Kenexa Talent Suite also addresses increasing efforts by human resources organizations to optimize their activities through more effective use of technology, a topic covered in our 2014 HCM research agenda. Specifically, the...

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        Topics: Big Data, Mobile, SAP, Social Media, HCM, Kenexa, Recruiting, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, IBM, Oracle, Workforce Performance, Cognitive Computing, HR, IBM Watson, Social

        Many businesses are close to being overwhelmed by the unceasing growth of data they must process and analyze to find insights that can improve their operations and results. To manage this big data they find a rapidly expanding portfolio of technology products. A significant vendor in this market is SAS Institute. I recently attended the company’s annual analyst summit, Inside Intelligence 2014 (Twitter Hashtag #SASSB). SAS reported more than $3 billion in software revenue for 2013 and is known...

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        Topics: Big Data, Predictive Analytics, SAS, Event Stream, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Data Management, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Discovery

        I recently completed two closely related benchmark research reports, on next-generation customer engagement and next-generation customer analytics. The  research on customer engagement shows that companies on average engage with customers through seven or eight communication channels and that almost every business unit except IT engages with customers. To provide customers with personalized, in-context and consistent experiences across these channels, companies need an up-to-date, complete view...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), Information Management, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics

        Adding geographic and location context to business information enables organizations to develop fuller understanding and optimize the activities of people that use the information. We call this location intelligence, and to achieve it requires location analytics, which focus on that context where the processing and presentation of geography and spatial aspects of data are utilized. Analysis of geographic information can provide business insights that help organizations make better business...

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        Topics: Sales Performance, Supply Chain Performance, Customer Analytics, GIS, Location Analytics, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance

        When it comes to making a business case for software investments, many people fail to recognize that the case itself is just one part of what amounts to an internal sales and marketing effort that they must perform well to be successful. Focusing only on the numbers and assumptions in a spreadsheet is not enough. Making a successful business case requires an understanding of the audience’s perspective and motivations. Since the individuals who will review the business case may not be...

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        Topics: Planning, Sales Performance, Supply Chain Performance, ERP, Office of Finance, Research, budgeting and planning, ROI, Operational Performance, Analytics, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, CRM, business plan, capital spending, Financial Performance Management, FPM, SCM, Software

        The market for human capital analytics is in flux, as companies begin to evaluate and adopt more capable tools and processes for this area of human capital management. A look at the tools organizations are using and plan to use for human capital analytics provides an example of this change. Our recently published benchmark research on human capital analytics shows that nearly nine in 10 (87%) organizations are still using spreadsheets for human capital analytics while fewer than two in five...

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        Topics: Big Data, Mobile, Predictive Analytics, Social Media, HCM, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, Information Management, Workforce Performance

        FinancialForce recently introduced FinancialForce ERP, a family of cloud-based software designed to support a variety of customer-centric businesses such as professional services organizations or companies that specialize in business and industrial distribution. Many of these types of businesses are midsize or small (having 50 to 1,000 employees) and can benefit from the integration of FinancialForce’s accounting, professional services automation, human capital management (HCM) and supply chain...

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        Topics: SaaS, Sales, Sales Performance, Salesforce.com, Supply Chain Performance, ERP, HCM, Human Capital, Office of Finance, Consulting, distribution, PSA, Unit4, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance, FinancialForce, HR, Professional Services Automation, SCM

        A core objective of my research practice and agenda is to help the Office of Finance improve its performance by better utilizing information technology. As we kick off 2014, I see five initiatives that CFOs and controllers should adopt to improve their execution of core finance functions and free up time to concentrate on increasing their department’s strategic value. Finance organizations – especially those that need to improve performance – usually find it difficult to find the resources to...

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        Topics: Big Data, Performance Management, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Office of Finance, Budgeting, close, dashboard, PRO, Tax, Analytics, Business Analytics, Business Collaboration, Business Performance, CIO, Customer & Contact Center, Financial Performance, In-memory, CFO, Supply Chain, CEO, demand management, Financial Performance Management, FPM, S&OP

        At its recent MicroStrategy World 2014 conference, the enterprise software company introduced a portfolio of products to make it easier to perform analytics and make them easier to access through the cloud and mobile forms of computing. These announcements accelerate MicroStrategy’s transition to approaching corporate business users of analytics from its past focus on business intelligence, which typically is purchased by IT. This is a subtle but strategic shift that recognizes where growth...

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        Topics: MicroStrategy, Mobile, Social Media, Customer Engagement, Smart Phones, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Location Intelligence, Operational Intelligence, Tablets

        Ventana Research recently completed the most comprehensive evaluation of mobile business intelligence products and vendors available anywhere today. The evaluation includes 16 technology vendors’ offerings on smartphones and tablets and use across Apple, Google Android, Microsoft Surface and RIM BlackBerry that were assessed in seven key categories: usability, manageability, reliability, capability, adaptability, vendor validation and TCO and ROI. The result is our Value Index for Mobile...

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        Topics: Big Data, MicroStrategy, Mobile, Mobile Business Intelligence, Pentaho, Sales Performance, SAP, SAS, Tableau, Jaspersoft, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Information Builders, Oracle, Workforce Performance, Yellowfin, Roambi, Value Index, arcplan, Logi Analytics, Qlik

        Our recently released benchmark research on information optimization shows that 97 percent of organizations find it important or very important to make information available to the business and customers, yet only 25 percent are satisfied with the technology they use to provide that access. This wide gap between importance and satisfaction reflects the complexity of preparing and presenting information in a world where users need to access many forms of data that exist across distributed...

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        Topics: Big Data, IT Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Preparation, Information Applications, Information Management, Data Discovery, Datawatch, Information Optimization

        In the wake of the past year’s usual crop of failed ERP implementations, I’ve read a couple of blogs that bemoan the fact that ERP systems are not nearly as user-friendly or intuitive as the mobile apps that everyone loves. I’ve complained about this aspect of ERP, and our research confirms that ERP systems are viewed as cumbersome: Just one in five companies (21%) said it is easy to make changes to ERP systems while one-third (33%) said making changes is difficult or very difficult. Yet as...

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        Topics: Mobile, SAP, ERP, Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Oracle, CFO, Infor, Workday, Social, business process, FPM, Intacct

        In my benchmark research into next-generation customer engagement three-quarters (77%) of participating companies said it is necessary to improve the way they engage with customers. The main drivers for doing that are to improve the customer experience (74%) and improve customer service (70%). However, neither is an easy task because companies now have to support more channels of communication, and more customer interactions are handled by multiple business units within the organization. The...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Envision has carved out a slice of the workforce optimization market by offering its suite of products as cloud-based services. In addition to core products such as interaction recording, quality assurance, workforce management, training, coaching and agent analytics, it offers speech and desktop analytics and customer feedback management through surveys and our part of my research agenda. Our last Value Index shows that this is a highly competitive market, and my benchmark research on ...

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        Topics: Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Force Optimization

        Paxata, a new data and analytics software provider says it wants to address one of the most pressing challenges facing today’s analyst performing analytics: simplifying data preparation. This trend toward simplification is well aligned with the market’s desire for improving usability, which our benchmark research into Next-Generation Business Intelligence shows is a primary buying consideration in two-thirds (64%) of companies. This trend is driving significant adoption of...

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        Topics: Big Data, Paxata, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Data Preparation, Information Applications, Information Management, Data Discovery

        I am not comfortable with the term “gamification” used in the context of business applications. It sounds as if employees are officially allowed to play games while working and thus take their attention away from the task at hand, which in a contact center is serving customers. So I was skeptical when Uptivity recently wanted to brief me about gamification capabilities it recently announced for its suite of workforce optimization products. I was doubtful that gamification will help companies in...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        Ventana Research recently released our Value Index on Workforce Management for 2014. We define workforce management as the set of processes by which organizations manage their hourly and salaried employees to maximize productivity. It involves not only tracking time worked and providing compensation for it but also aligning that work to the objectives of the organization and to the individual employee’s needs. Our Value Indexes are informed by more than a decade of analysis of how well...

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        Topics: Sales Performance, SAP, Social Media, Human Capital Management, Kronos, Empower, Operational Performance, WFM, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Mobility, Oracle, Workforce Performance, Ceridian, Infor, SumTotal Systems, Value Index, Workforce Management, Workplace

        Our benchmark research shows that analytics is the top business technology innovation priority; 39% of organizations rank it first. This is no surprise as new information sources and new technologies in data processing, storage, networking, databases and analytic software are combining to offer capabilities for using information never before possible. For businesses, the analytic priority is heightened by intense competition on several fronts; they need to know as much as possible about...

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        Topics: Big Data, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Data

        Our benchmark research on enterprise spreadsheets explores the pitfalls that await companies that use desktop spreadsheets such as Microsoft Excel in repetitive, collaborative enterprise-wide processes. Because people are so familiar with Excel and therefore are able to quickly transform their finance or business expertise into a workable spreadsheet for modeling, analysis and reporting, desktop spreadsheets became the default choice. Individuals and organizations resist giving up their...

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        Topics: Sales Performance, GRC, Office of Finance, Reporting, enterprise spreadsheet, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Workforce Performance, Risk, benchmark, Financial Performance Management

        In 2013 we continued to see change in the contact center, customer service and customer experience markets: Consumers’ communication habits continued to evolve, more business units outside the traditional contact center became involved in handling interactions, software vendors continued to come up with new technologies, and cloud computing, mobility, big data, collaboration, social media and analytics all had a big impact on the ways users access and consume software. Many of these trends...

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        Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Location Intelligence, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        Senior finance executives and finance organizations that want to improve their performance must recognize that technology is a key tool for doing high-quality work. To test this premise, imagine how smoothly your company would operate if all of its finance and administrative software and hardware were 25 years old. In almost all cases the company wouldn’t be able to compete at all or would be at a substantial disadvantage. Having the latest technology isn’t always necessary, but even though...

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        Topics: Big Data, Planning, Predictive Analytics, Governance, GRC, Office of Finance, Budgeting, close, Tax, Analytics, Business Analytics, Business Collaboration, Business Performance, CIO, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), In-memory, CFO, Risk, CEO, Financial Performance Management, FPM

        With much fanfare and a rarely seen introduction by CEO Ginni Rometty, IBM launched IBM Watson as a new business unit focused on cognitive computing technology and solutions, now being led by Senior Vice President Mike Rhodin. The announcement is summarized here:. Until now IBM Watson was important but had neither this stature in IBM’s organizational structure nor enough investment to support what the company proclaims is the third phase of computing. As IBM tells it, computing paradigms began...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Cognitive Computing, Discovery, Exploration, IBM Watson

        Verint recently announced a definitive agreement to acquire KANA Software. Its goal, in the words of the press release, is to “transform the way organizations engage with their customers.” Customer engagement and customer experience management have become the topics of many conversations in my research area, so I wanted to understand the substance behind this move.

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Force Optimization

        Greetings, everyone, and best wishes for a great start to 2014. In this new year, utilizing best practices and skills learned in 2013 will be critical for optimizing the use of efforts to support both business and IT. In 2013 many organizations made progress in balancing technology decisions across business and IT as the lines of business continued to take leading roles in investment and prioritization. Major investments were made in business applications using software as a service, business...

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Market Research, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, CFO, COO, Technology

        I have written lately about how digital customers change customer engagement. It’s no surprise that at the heart of this change, as well as many others that impact business, is the Internet. Along with smart mobile devices, the Internet has changed the ways consumers engage with each other and businesses. In buying products and services, digital customers prefer to research them on the Internet, then buy online or at a store. They expect all activities to happen fast, perhaps in real time....

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        Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Social CRM, Self-service, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM

        Like every large technology corporation today, IBM faces an innovator’s dilemma in at least some of its business. That phrase comes from Clayton Christensen’s seminal work, The Innovator’s Dilemma, originally published in 1997, which documents the dynamics of disruptive markets and their impacts on organizations. Christensen makes the key point that an innovative company can succeed or fail depending on what it does with the cash generated by continuing operations. In the case of IBM, it puts...

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        Topics: Predictive Analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Information Applications, Data Discovery, Discovery, Information Discovery, SPSS

        If you stop to compare communication preferences of the past to those of today, you can’t fail to notice some major changes, especially in younger generations. Talking on the phone – fixed or mobile – is in decline, as many people now prefer text messaging, chat and social media. We rely on the Internet to search for websites, run mobile apps and use social media. We watch less TV in real time, preferring to watch what we want, when we want to watch it and to skip advertisements. The same...

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        Topics: Big Data, Sales Performance, Social Media, Customer Analytics, Customer Experience, Speech Analytics, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Ventana Research defines workforce optimization as a set of processes and technology for customer agents that include interaction (call) recording, quality monitoring, workforce management, training and coaching, compensation management and analytics. My benchmark research into next-generation workforce optimization set out to discover the people, processes, information and systems companies are using to get more from their customer service agents, the benefits they have gained, their plans to...

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        Topics: Sales Performance, Social Media, Customer Experience, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Call Center, Contact Center, Contact Center Analytics

        Host Analytics has introduced AirliftXL, a new feature of its cloud-based financial performance management (FPM) suite that enables its software to translate users’ spreadsheets into the Host Analytics format. I find it significant in three respects. First, it can substantially reduce the time and resources it takes for a company to go live in adopting the Host Analytics suite, lowering the cost of implementation and accelerating time to value. Second, it enables Host Analytics users who have...

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        Topics: Modeling, Office of Finance, Reporting, closing, Consolidation, Controller, Host Analytics, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Workforce Performance, CFO, Financial Performance Management, FPM

        At its Teradata Partners conference in Dallas, a broader vision for big data and analytics was articulated clearly. Their pitch centered on three areas – data warehousing, big data analytics and integrated marketing – that to some degree reflect Teradata’s core market and acquisitions in the last few years of companies like Aprimo who provides integrated marketing technology and Aster in big data analytics. The keynote showcased the company’s leadership position in the increasingly complex...

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        Topics: Big Data, Teradata, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications

        I recently wrote how the recent U.K.-based Call Centre Expo showed that companies have shifted priorities for deployment systems from on-premises infrastructures to cloud-based systems and that as a consequence vendors had shifted focus from workforce optimization to cloud-based multichannel interaction management. Confirming this trend, as salesforce.com Dreamforce event at least 10 such vendors will be showing their products. A few of them I saw at Call Centre Expo: Genesys, Interactive...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Today companies handle an increasing number of customer interactions and they do this through a greater number and variety of communication channels, and by using more employees that are dispersed throughout the organization. Managing the pool of agents in a contact center has always proved a complex task and this is made more complex as interactions are now handled by most lines of business (marketing, sales, customer service, finance, HR, home workers and mobile workers). To do this many...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        All the hubbub around big data and analytics has many senior finance executives wondering what the big deal is and what they should do about it. It can be especially confusing because much of what’s covered and discussed on this topic is geared toward technologists and others working outside of Finance, in areas such as sales, marketing and risk management. But finance executives need to position their organization to harness this technology to support the strategic goals of their company. To...

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        Topics: Big Data, Performance Management, Predictive Analytics, Customer Experience, Fraud, Governance, GRC, Office of Finance, audit, Controller, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, CFO, compliance, finance, Risk, Financial Performance Management, financial risk management

        PROS Holdings, a provider of price and revenue optimization software, has an agreement in principle to acquire Cameleon Software, which offers configure, price and quote (CPQ) applications. The combined company is likely to benefit from a broader geographic presence (PROS is based in Houston while Cameleon is in Toulouse, France) for their sales and marketing efforts. However, the longer-term strategic value of the merger lies in the combination of the related categories of price optimization...

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        Topics: Sales, Sales Performance, FP&A, PRO, PROS, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Financial Performance, CFO, CPQ, CEO, FPM, Price Optimization, Profitability

        Infor is a vendor I haven’t covered much in the past, but after attending the recent Infor on the Road day in the U.K. that is about to change. I viewed Infor as basically a CRM vendor, and I don’t believe such systems have much impact on customer engagement and the customer experience. Indeed if you view Infor website’s product page, it features several product categories focused on internal processes: CRM, Asset Management, Financial Management, Resource Planning, Human Capital Management and...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Customer Analytics, Customer Experience, Speech Analytics, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        In our benchmark research on business technology innovation, organizations ranked analytics the number-one priority (for 39%) among six technology trends. Big data, perhaps because it is a more technical concept, ranked fifth, with 11 percent of organizations calling it a top innovation priority. But in this time of global business, nonstop communications and fierce competition, more organizations are finding that big data and analytics together can help them cope with constant change. They can...

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        Topics: Big Data, Predictive Analytics, Human Capital, IT Research, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Talent Management

        When I last reviewed contact center vendor Zeacom it was in the process of being acquired by Enghouse Interactive, with its primary goal being a more global presence. At the time Zeacom’s main selling points were support for multiple channels of communication and integration with Lync, Microsoft’s unified communications software. Now the acquisition is complete (although Zeacom still seems to operate on a fairly autonomous basis), and I learned during a recent briefing that the latest release...

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        Topics: Big Data, Customer Experience, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics

        Tidemark announced the release of the Fall 2013 version of its eponymous cloud-based application that my colleague assessed earlier in 2013. This new release adds capabilities for labor planning and expense management as well profitability modeling and analysis. These two areas of planning and analysis are common to all businesses. The new release adds features that enhance the software’s ability to do sales forecasting, initiative planning and IT department planning. The company continues to...

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        Topics: Big Data, Performance Management, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Office of Finance, Reporting, Controller, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, In-memory, Workforce Performance, CFO, Tidemark, Financial Performance Management, financial reporting, FPM, Integrated Business Planning

        QlikTech executives unveiled the future of what I cover in business analytics at its recent industry analyst summit in what they framed as natural analytics and how it underlies the company’s next major release in 2014, and with what they call QlikView.Next which they have outlined publicly. Anthony Deighton, SVP Products and Donald Farmer, VP of Product Management, did most of the talking, but it is clear that the idea unifies the business and technology strategy for its future.

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        Topics: QlikView, discovery tools, IT Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Information Applications, Qlik

        I recently attended an IBM event about its new social business products and services. I was skeptical at first: I have seen another vendor’s “social enterprise” come and go, and although companies need to address customer use of social media, I don’t think “social” is the path businesses should take; it is more to do with collaboration. However, I quickly learned that IBM sees things rather differently. Its starting point is the need for companies to make their workforces smarter – something I...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Oracle continues to enrich the capabilities of its Hyperion suite of applications that support the finance function, but I wonder if that will be enough to sustain its market share and new generation of expectations. At the recent Oracle OpenWorld these new features were on display, and spokespeople described how the company will be transitioning its software to cloud deployment. Our 2013 Financial Performance Management Value (FPM) Index rates Oracle Hyperion a Warm vendor in my analysis,...

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        Topics: Big Data, Mobile, Planning, Social Media, ERP, Human Capital Management, Modeling, Office of Finance, Reporting, Budgeting, close, closing, Consolidation, Controller, driver-based, Finance Financial Applications Financial Close, Hyperion, IFRS, Tax, XBRL, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Financial Performance, In-memory, Oracle, CFO, compliance, Data, benchmark, Financial Performance Management, financial reporting, FPM, GAAP, Integrated Business Planning, Price Optimization, Profitability, SEC Software

        The 2013 Oracle OpenWorld in San Francisco was unique in several ways. Against the background of the America’s Cup yacht races on the bay, which Team Oracle won in an amazing comeback, this was the first year in which OpenWorld dedicated a separate track to the full aspects of human capital management (HCM). This emphasis helped to demonstrate Oracle’s increased commitment to HCM. That and several important innovations in the company’s Oracle HCM Cloud product suite led us to select Oracle as...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Gamifiacation, HCM, OpenWorld, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Oracle, Workforce Performance

        Two years ago I wrote about communications in the cloud taking over the annual U.K. contact center event Call Centre Expo. Now that dominance is almost complete. At one point at this year’s event I was standing at the center of the show floor and without taking a step I spotted 11 vendors all offering some form of communications in the cloud. This term includes all the systems that manage the various communication channels companies now support for managing customer interactions: telephone,...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        We recently issued our 2013 Value Index on Financial Performance Management. Ventana Research defines financial performance management (FPM) as the process of addressing the often overlapping people, process, information and technology issues that affect how well finance organizations operate and support the activities of the rest of their organization. FPM deals with the full cycle of finance department activities, which includes planning and budgeting, analysis, assessment and review, closing...

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        Topics: Mobile, Planning, Predictive Analytics, Office of Finance, Budgeting, closing, Consolidation, contingency planning, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, CFO, Value Index, Financial Performance Management

        Verint has been a major player in the workforce optimization and voice of the customer (VoC) feedback markets for several years. As I noted in a previous analysis, its major challenges stem from the fact that its product portfolio has come about largely through a series of acquisitions, which has led to integration and user interface issues. Verint has been steadily addressing these by taking an information-driven approach and adding extensive analytics capabilities to the overall portfolio....

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        Nexidia is best known as a vendor of speech analytics. It was one of the first in this market, and a key differentiator is that its product uses phonetics to identify words and phrases embedded in recordings of phone calls. This capability has the advantage over standard word and phrase spotting because users don’t have to create a dictionary of words they want to spot. Thus the software can analyze calls and identify their content without users having to predetermine what it should look for....

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        Topics: Big Data, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Pentaho recently announced Pentaho 5.0 which represents a major advancement for this supplier of business analytics and data integration software as well as for the open source community to which it contributes and supports. In fact, with 250 new features and enhancements in the 5.0 release, it’s important not to lose the forest for the trees. Some of the highlights are a new user interface that caters to specific roles within the organization, tight integration with emerging databases such as...

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        Topics: Big Data, Pentaho, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Data Integration, Information Applications, Information Management

        Enterprise resource planning (ERP) systems emerged in the 1990s. Even though they don’t do much in the way of planning, the systems provide companies a means of centralizing and consolidating transaction data collection (such as purchase orders, inventory movements and depreciation), automating the management of processes, and handling the bookkeeping and financial record keeping for these transactions and related processes. ERP systems are an indispensable piece of IT infrastructure in today’s...

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        Topics: Mobile, SAP, Social Media, Supply Chain Performance, ERP, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Oracle, CFO, Infor, Workday, Social, FPM, Intacct

        ResponseTek is a well-established player in the marketing and customer feedback markets. It has four products that cover market research, customer feedback, knowledge management and media monitoring,  that enable companies to capture comments made on public sites, typically social media-based. Its customer feedback products support creation, collection and analysis of feedback through multiple channels, as I have noted, including mobile devices. ResponseTek has now taken its support for mobile...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        In his keynote speech at the sixth annual Tableau Customer Conference, company co-founder and CEO Christian Chabot borrowed from Steve Jobs’ famous quote that the computer “is the equivalent of a bicycle for our minds,” to suggest that his company software is such a new bicycle. He went on to build an argument about the nature of invention and Tableau’s place in it. The people who make great discoveries, Chabot said, start with both intuition and logic. This approach allows them to look at...

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        Topics: Sales Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Information Applications, Information Management, Location Intelligence, Visualization, Data

        Ventana Research believes that in today’s highly competitive markets the most important factor is the customer experience, or to be more precise, the way agents handle customer interactions and their outcomes from the perspectives of both customers and businesses. Our research on the contact center in the cloud shows that to reach customers organizations are deploying channels of interaction beyond the telephone, such as Web-based chat and self-service, mobile text messaging and social media,...

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        Topics: Big Data, Customer Experience, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics

        Technology for the Office of Finance can have transformative power. Although progress has been slow at times, today’s finance organizations are fundamentally different from those of 50 years ago. For one thing, they require far fewer resources (chiefly people) to perform basic accounting, treasury and corporate finance tasks. In addition, public corporations report results sooner – sometimes weeks sooner – than they could in the mid-20th century. And finance departments are able to harness...

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        Topics: ERP, GRC, Office of Finance, audit, finance transformation, Tax, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, CFO, Vertex, FPM, Innovation Awards

        In my last review of CallCopy I wrote that it was moving further from its origin as a call recording vendor by expanding its product range to include workflow optimization applications such as quality monitoring, workforce management, coaching, agent-related analytics, customer satisfaction survey management and capture of non-voice interactions. During a recent briefing I learned that CallCopy is continuing this transformation with Insight, its contact center performance management product....

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        Topics: Big Data, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        R, the open source programming language for statistics and graphics, has now become established in academic computing and holds significant potential for businesses struggling to fill the analytics skills gap. The software industry has picked up on this potential, and the majority of business intelligence and analytics players have added an R-oriented strategy to their portfolio. In this context, it is relevant to look at some of the problems that R addresses and some of the challenges to its...

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        Topics: Big Data, Predictive Analytics, Analytics, Business Analytics, Business Intelligence, Customer & Contact Center, Information Applications, Information Management

        Enkata, as I wrote not long ago is continuing to expand the range and capabilities of its products for optimizing employee actions while maintaining a firm foothold in analytics for the contact center and agents. Its latest release, Action Center, maintains this position with a focus on improving employee performance.

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Enkata, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics

        In the realm of technology that matters for business and IT, our firm as part of our responsibility continually assesses the latest technology and how it can impact organizations’ efficiency and effectiveness. Our benchmark research in technology innovation found that 87% of participants indicated the importance of increasing the organization’s value through technology innovation. Every year we take our knowledge from research and technology briefings to focus on our Technology Innovation Awards

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        Topics: Big Data, Datameer, Mobile, Sales, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Customer, ESRI, Globoforce, GRC, HCM, Kronos, Kyriba, Location Analytics, Marketing, NetBase, Office of Finance, Overall Operational Leadership, Peoplefluent, Planview, SQLstream, VMWare, VPI, IT Analytics & Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Hortonworks, IBM, Informatica, Information Applications, Information Builders, Information Management, Information Technology, KXEN, Location Intelligence, Operational Intelligence, Oracle, Workforce Performance, Contact Center, Datawatch, Financial Management, Information Optimization, Johnson Controls Panoptix, Roambi, Service & Supply Chain, Upstream Works, Vertex, Xactly

        As a new generation of business professionals embraces a new generation of technology, the line between people and their tools begins to blur. This shift comes as organizations become flatter and leaner and roles, context and responsibilities become intertwined. These changes have introduced faster and easier ways to bring information to users, in a context that makes it quicker to collaborate, assess and act. Today we see this in the prominent buying patterns for business intelligence and...

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        Topics: Big Data, Data Scientist, Sales Performance, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Data Management, Financial Performance, Information Applications, Information Management, Workforce Performance, Data

        Many finance executives want to improve their department’s effectiveness in order to play a more strategic role in their company. However, frequently they find at least three serious challenges to achieving this sort of finance transformation. One is that too much time and resources are devoted to purely mechanical tasks. Another is that the information executives need is not always available immediately. A third is that they lack the data (which is unavailable or too difficult to access), the...

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        Topics: Predictive Analytics, Office of Finance, Controller, credit, debt, Kyriba Financial Performance Management, Analytics, Business Performance, Financial Performance, CFO, cash management

        The market for customer analytics continues to grow as organizations realize the current competencies and technology are not aligned to the priority of providing the best possible customer experience through supporting business processes. At the same time those organizations that have invested and continue to improve in this area are taking advantage of why I call a new generation of customer analytics. As I research into technology to support customer analytics, I had a chance to assess the...

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        Topics: Social Media, alteryx, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics

        It has become evident from the advancements we’ve seen in the business analytics market that the use of visualization is now becoming mainstream. In my analysis of the market last year I wrote about the pathetic state of dashboards, where the assumption in the business intelligence software industry is that placing four to six charts or tables of data in a screen and publishing to business users can create business intelligence. That assumption has yet to be proven and is completely irrational,...

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        Topics: IT Performance, Analytics, Business Analytics, Business Intelligence, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Visualization

        The last time I was briefed by Confirmit it had just acquired CustomerSat and, in addition to undergoing a number of internal developments, was transitioning from supporting market research, customer and employee feedback to focusing more on voice of the customer (VOC). One of its key differentiators has been its ability to combine market research, customer and employee feedback to close the loop and produce VOC reports and analysis that include all three perspectives. Confirmit added the...

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        Topics: Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Text Analytics, Confirmit

        This is the beginning of the season when companies that are on a calendar year begin their strategic and long-term planning. Ventana Research performed an extensive investigation in this area with our long-range planning benchmark research. Strategic and long-range planning is a process and discipline that companies use to determine the best strategy for succeeding in the markets they serve and then ensure they have the capabilities and resources needed to support their strategic objectives.

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        Topics: Big Data, Master Data Management, Performance Management, Planning, Sales Performance, Supply Chain Performance, Human Capital Management, Office of Finance, Reporting, Budgeting, dashboard, Operational Performance, Analytics, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, Data, CEO, Financial Performance Management, FPM

        NICE Systems is well known in the contact center market for its suite of workforce optimization products. However, over the past several months it has gradually been expanding out of the pure-play contact center market into back-office and mobile applications, as well as the broader market of customer interaction handling. My research on the contact center in the cloud shows that customer interaction processes are getting more complex as customers demand faster, more personalized responses,...

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        Topics: Social Media, Customer Analytics, Customer Experience, NICE Systems, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Desktop Analytics, Text Analytics

        Earlier this year I wrote that Verint Systems, which makes workforce optimization and analytics products for customer engagement, has changed its focus from individual product capabilities to packaged business solutions that include specifically configured versions of its products. The first of those was real-time personalized guidance; it uses several of the company’s Impact 360 workforce optimization products to guide agents in real time as they handle customer interactions. I wrote at the...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Verint, Workforce Force Optimization

        A few months ago, I wrote an article on the four pillars of big data analytics. One of those pillars is what is called discovery analytics or where visual analytics and data discovery combine together to meet the business and analyst needs. My colleague Mark Smith subsequently clarified the four types of discovery analytics: visual discovery, data discovery, information discovery and event discovery. Now I want to follow up with a discussion of three trends that our research has uncovered in...

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        Topics: Datameer, SAP, Splunk, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, IBM, Information Applications, Information Builders, Operational Intelligence, Oracle, Data Discovery, Information Discovery

        Ventana Research has just released its 2013 Value Index for Agent Desktop Management, in which we evaluate the competency and maturity of vendors and products that support the management of the desktop systems that agents use to handle customer interactions. Our firm has researched this software category for many years, and our benchmark research into customer service and the agent desktop shows the impact the agent desktop has on agent satisfaction and efficiency and the business outcome of...

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        Topics: Salesforce.com, Customer Experience, NICE Systems, Cincom, Genesys, Jacada, Kana, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Upstream Works, OpenSpan

        IBM’s SPSS Analytic Catalyst enables business users to conduct the kind of advanced analysis that has been reserved for expert users of statistical software. As analytic modeling becomes more important to businesses and models proliferate in organizations, the ability to give domain experts advanced analytic capabilities can condense the analytic process and make the results available sooner for business use. Benefiting from IBM’s research and development in natural-language processing and its...

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        Topics: analytic catalyst, driver analysis, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, IBM, SPSS

        The spreadsheet is one of the five most important advances in business management over the last 50 years. It has changed all aspects of running an organization. It was the original “killer app” that made people go out and buy personal computers. So you see I’m enthusiastic about spreadsheets, but I realize they have limits that must be respected to work efficiently. One of the more important findings from our benchmark research Spreadsheets for Today’s Enterprise was about the time spent in...

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        Topics: Sales Performance, Supply Chain Performance, Office of Finance, Reporting, enterprise spreadsheet, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Visualization, Workforce Performance, Risk, benchmark, Financial Performance Management

        Pricing and profit margins appear to be trending topics, which is normal at this stage of the business cycle. North American companies achieved high levels of profitability coming out of the last recession by staying lean, but this trend has run its course. Margins are being squeezed, and companies are looking for ways to add to the bottom line.

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        Topics: Planning, Sales, Sales Performance, Office of Finance, Operational Performance, Analytics, Business Performance, Financial Performance, costing, FPM, Price Optimization, Profitability, S&OP

        Mercer is a global consulting company that has more than 19,000 employees in more than 40 countries. One of the company’s major consulting practices is talent management. My colleague Mark Smith assessed Mercer’s survey delivery product WIN for compensation management in September 2011. Mercer recently held an analyst day in Boston where speakers discussed the launch of a new internal group focused on talent management and a new talent management suite sold as part of its consulting services.

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        Topics: MicroStrategy, Mercer, Towers Watson Talent Management, Analytics, Business Analytics, Workforce Performance, Compensation

        Actuate recently announced BIRT Analytics Version 4.2, part of its portfolio of business intelligence software. The new release includes several techniques used by analytics professionals placed behind a user-friendly interface that does not require advanced knowledge of statistics. Beyond the techniques themselves, release 4.2 focuses on guiding users through processes such as campaign analytics and targeting.

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        Topics: Sales Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Customer & Contact Center, Data Discovery

        PivotLink is a cloud-based provider of business intelligence and analytics that serves primarily retail companies. Its flagship product is Customer PerformanceMETRIX, which I covered in detail last year. Recently, the company released an important update to the product, adding attribution modeling, a type of advanced analytic that allows marketers to optimize spending across channels. For retailers these types of capabilities are particularly important. The explosion of purchase channels...

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        Topics: Retail Analytics, Sales Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, PivotLink

        Datameer , a Hadoop-based analytics company, had a major presence at recent Hadoop Summit, led by CEO Stephan Groschupf’s keynote and panel appearance. Besides announcing its latest product release, which is an important advance for the company and its users, Datameer’s outspoken CEO put forth contrarian arguments about the current direction of some of the distributions in the Hadoop ecosystem.

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        Topics: Big Data, Datameer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Strata+Hadoop

        Hadoop Summit is the biggest event on the West Coast centered on Hadoop, the open source technology for large-scale data processing. The conference organizers, Hortonworks, estimated that more than 2,400 people attended, which if true would be double-digit growth from last year. Growth on the supplier side was even larger, which indicates the opportunity this market represents. Held in Silicon Valley, the event attracts enterprise customers, industry innovators, thought leaders and venture...

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        Topics: Big Data, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Operational Intelligence, Strata+Hadoop

        Anyone who follows salesforce.com is used to surprises, but over the last couple of months the company has come up with some that go beyond the usual. It rebranded the recent user conference in London as a customer company event. This follows from changing its messaging to urge every company to become a customer company not a social company. The event itself was everything we have come to expect, using an array of customer case studies to show how salesforce.com’s products help companies...

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        Topics: Sales, Sales Performance, Social Media, Customer Experience, Social CRM, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Information Applications, Call Center, Contact Center, CRM

        Along with other aspects of the finance organization, there’s increasing emphasis on having the treasury function play more of a strategic role in the organization. Typically, Treasury is charged with keeping track of and managing cash. Especially in larger organizations, this can be complicated because of multiple bank accounts, complex financing requirements and many methods of receiving and making payments; the complexity deepens when more than one currency is used across multiple...

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        Topics: Predictive Analytics, Office of Finance, Controller, credit, debt, Analytics, Business Performance, Financial Performance, CFO, cash management, Financial Performance Management

        I recently wrote how IBM is making customer analytics smarter. Since then IBM has run events in North America and Europe to demonstrate how it is continuing these efforts and expanding into other areas. Outside of the customer space you can read how my colleagues assess its efforts: Mark Smith discusses HRRobert Kugel sees its impact on business overall, and Tony Cosentino addresses it in IT. Our research My focus remains the customer and I have learned more about what IBM is doing in social...

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        Topics: Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, IBM, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, IBM Watson, Text Analytics

        Roambi, a supplier of mobile analytics and visualization software, announced the release of a cloud-based version of its product, which allows the company to move beyond the on-premises approach where it is established and into the hands of more business users. Roambi Business enables users to automate data import, create models and refresh data on demand. Furthermore, the company announced a North America Partner Program along with the cloud release. This will encourage ISVs and solution...

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        Topics: Mobile, Sales Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Operational Intelligence, Roambi

        Predictive analytics in an inherently difficult task and often takes specialized skills. While not easy, the business results of predictive analytics can be significant. 68% of companies say they use predictive analytics to create competitive advantage while 55% say that they increase revenue. KXEN is a software company that specializes in making predictive analytics easier to use by automating predictive analytic processes and some data preparation tasks. Like other predictive analytics...

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        Topics: Predictive Analytics, Sales Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, KXEN, Operational Intelligence, commodity models

        IBM’s Big Data and Analytics Analyst Insights conference started me thinking about the longer-term potential impact of big data and related technologies on business management. I covered some of the near-term uses of big data and analytics in an earlier perspective. There are numerous uses of big data that can provide incremental improvements to existing processes and practices. Some of these will have a significant impact on changing business models, enabling new classes of products and...

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        Topics: Big Data, Planning, Predictive Analytics, Management, Budgeting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, IBM, Information Management, decision, FPM, Watson

        Business analytics can help organizations use data to find insights that lead to new opportunities and address issues unrecognized before. One player in this market is Datawatch, known for its tools for information optimization and harvesting value from big data including content and documents. I assessed the company earlier this year, and recently our firm recognized its customers’ achievements with 2013 Ventana Research Leadership Awards for Information Optimization with Phelps County...

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        Topics: Big Data, Sales Performance, SAP, Supply Chain Performance, GRC, Office of Finance, Panopticon, Operational Performance, Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Operational Intelligence, CEP, Datawatch, Discovery, Information Optimization, SAP HANA

        I recently attended SAS’s European analyst event, where I went to focus on new developments around customer intelligence, an application of big data that SAS includes in its high-performance analytics and visual analytics. SAS offers an amazing number and range of products that is hard to keep track of, so I was glad to get a sense that now it is focusing more on business solutions built with data visualization and discovery, big data, data management, cloud computing, marketing analytics...

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        Topics: SAS, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        Information management is important to every line of business that seeks to improve its business processes and decision-making. In response to pressure from those departments, CIOs and IT organizations must examine whether they have focused enough on the I for information and not just the T for technology, and if they have not, commit to taking this responsibility more seriously than in the past. Informatica is one vendor that realizes the potential of its information beyond just data...

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        Topics: Data Quality, Master Data Management, PowerCenter, Operational Performance, Analytics, Business Analytics, Business Performance, CIO, Cloud Computing, Data Integration, Information Applications, Information Management, Information Optimization, Vibe

        Information Builders  (IBI) was highest ranked vendor in Ventana Research’s Business Intelligence Value Index for 2012. The combination of data integration, business analytics, visual and data discovery and performance management software in a single framework allows the company to address a range of both IT and business user needs and gives it a measure of advantage in an intensely competitive market. At the same time, emerging trends are disrupting the BI category, which seemed mature not long...

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        Topics: Big Data, Social Media, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Builders, Information Management, Location Intelligence, Operational Intelligence

        IBM hosted the Big Data and Analytics Analyst Insights conference in Toronto recently to emphasize the strategic importance of this topic to the company and to highlight recent and forthcoming advancements in its big data and analytics software. Our firm followed the presentations with interest. My colleagues Mark Smith and Tony Cosentino have commented on IBM’s execution of its big data strategy and its approach to analytics. As well, Ventana Research has conducted benchmark research on ...

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        Topics: Big Data, Sales Performance, Office of Finance, MRO, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, Location Intelligence, Operational Intelligence, FPM, Maximo, TM1, Watson

        In never ceases to amaze me, the number of new terms and acronyms the contact center market generates. Just as everyone is getting used to the fact that customers interact with companies through multiple communication channels (multichannel for short), someone invents the term omnichannel and we all have to get our heads around what this means. My research into the contact center in the cloud shows that companies now support on average nearly five communication channels, and although the...

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        Topics: Sales Performance, Social Media, Customer Experience, Social CRM, Voice of the Customer, Echopass, Enghouse interactive, Five9, LiveOps, Mobile Apps, NewVoicemedia, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Interactive Intelligence, Unified Communications

        I recently attended Vision 2013, IBM’s annual conference for users of its financial governance, risk management and sales performance management software. These three groups have little in common operationally, but they share software infrastructure needs and basic supporting software components such as reporting and analytics. Moreover, while some other major vendors’ user group meetings concentrate on IT departments, Vision focuses on business users and their needs, which is a welcome...

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        Topics: Planning, Reporting, Budgeting, closing, XBRL, Analytics, Business Performance, Data Management, Financial Performance, IBM, CFO, Financial Performance Management, FPM, SEC, TM1, Digital Technology

        Anaplan’s software is designed to help organizations across finance, sales and operations improve accuracy, timeliness and collaboration in their business analytics and planning. I recently attended the company’s first user conference, Hub 2013, in San Francisco, which featured customer success stories and latest on product information. Anaplan has built its business on the subtleties of modeling and planning that are shared between sales, operations and finance departments, and it enables them...

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        Topics: Big Data, Planning, Sales Performance, Supply Chain Performance, FP&A, Modeling, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, finance, Sales Planning

        Organizations today must manage and understand a flood of information that continues to increase in volume and turn it into competitive advantage through better decision making. To do that organizations need new tools, but more importantly, the analytical process knowledge to use them well. Our benchmark research into big data and business analytics found that skills and training are substantial obstacles to using big data (for 79%) and analytics (77%) in organizations.

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        Topics: Data Science, Predictive Analytics, R, SAP, Analytics, Business Analytics, Business Intelligence, Business Performance, IBM, Information Applications, Operational Intelligence, Oracle

        Much is being written about the impact of social media on customer service, although my research into the agent desktop shows it hasn’t reached the fever pitch that many commentators would have us believe. It is true that the number of consumers using social media and as a consequence the volume of posts are astronomical. But I wonder how many of these posts actually have to do with customer service and how organizations filter out the relevant ones to help them decide on customer service...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer Service, Call Center, Contact Center, Contact Center Analytics, Unified Communications, Social Media Analytics, SoCoCare

        At its recent user conference, Interactions 2013, Interactive Intelligence (Nasdqaq: ININ) showcased its extensive product portfolio and its ambitious plans to improve the products both technically and functionally. I have written more than once about the complexities of building a contact center, which is getting even more complex as companies begin to support more channels of interaction as inbound ones are distributed around the organization including sales (59%), marketing (46%) and CRM...

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        Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Force Optimization

        When it comes to today’s customers, companies have to be smart if they are going to anticipate and meet new customer expectations. These days IBM talks about doing most things in “smart” ways. Recently I was briefed on IBM’s Smart Customer Analytics, but it took me quite a while to find information about it on the company’s not-so-smart website. Surprisingly since business analytics is so important to IBM current and ongoing investments and is the top ranked technology innovation priority in 39...

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        Topics: Sales Performance, Customer Analytics, Customer Experience, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, IBM, Information Applications, Information Management, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Teradata recently gave me a technology update and a peek into the future of its portfolio for big data, information management and business analytics at its annual technology influencer summit. The company continues to innovate and build upon its Teradata 14 releases and its new processing technology. Since my last analysis of Teradata’s big data strategy, it has embraced technologies like Hadoop with its Teradata Aster Appliance, which won our 2012 Technology Innovation Award in Big Data....

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        Topics: Big Data, MicroStrategy, SAS, Tableau, Teradata, Customer Excellence, Operational Performance, Analytics, Business Analytics, Business Intelligence, CIO, Cloud Computing, Customer & Contact Center, In-Memory Computing, Information Applications, Information Management, Location Intelligence, Operational Intelligence, CMO, Discovery, Intelligent Memory, Teradata Aster, Strata+Hadoop

        At this year’s Global Pricing Forum, host Nomis Solutions announced the availability of its Discretion Manager software, which supports dynamic price negotiations. The annual event brings together thought leaders and practitioners interested in pricing. Nomis currently has 17 of the largest 100 banks as customers. With more customers, this year’s event had larger attendance than last year’s.

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        Topics: Big Data, Sales, Sales Performance, Office of Finance, credit, financial analytics, Nomis Solutions, PRO, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, banking, Financial Services

        Information technology for business is changing rapidly as organizations demand innovation to help them discover insights and facts. Our research into business technology innovation found analytics to be the top priority in 39 percent of organizations. Businesses feel pressure to be better, faster and smarter in operating processes, and understanding their various types of information is a key to success. Businesses are looking to capture value from all types of information both within the...

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        Topics: Big Data, Sales Performance, Supply Chain Performance, Event discovery, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Visualization, Workforce Performance, Data, Data Discovery, Information Discovery

        Our benchmark research found in business technology innovation that analytics is the most important new technology for improving their organization’s performance; they ranked big data only fifth out of six choices. This and other findings indicate that the best way for big data to contribute value to today’s organizations is to be paired with analytics. Recently, I wrote about what I call the four pillars of big data analytics on which the technology must be built. These areas are the...

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        Topics: Big Data, MicroStrategy, Tableau, Teradata, alteryx, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), IBM, Information Applications, Information Management, Operational Intelligence, Oracle

        I recently attended NICE Systems’ annual user conference, this year called Interactions 2013. In discussions of its different products and latest releases and testimonials from selected clients, I was surprised by how the messages were packaged. NICE has a long history of acquiring companies, and it has let many of them continue to operate as autonomous lines of business. Often there was minimal integration with other NICE products, a variety of user interfaces, no common software...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        At this year’s Inforum user group conference, Infor representatives showed the progress the organization has made since last year in transforming itself from a ragbag of mostly small, often obsolete software companies to a competitive vendor of a modern enterprise management software suite. Infor was created by private equity investors employing a “rollup” strategy, aimed at combining smaller companies within an industry to form a single larger company that could achieve economies of scale and...

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        Topics: Big Data, Mobile, Planning, Sales Performance, Social Media, Supply Chain Performance, GRC, Office of Finance, Budgeting, closing, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance, CFO, Infor, Risk, FPM, SEC

        When I last wrote about Attensity I classified it as a “pure play” text analytics vendor, but the latest release of its product has lead me to revise my opinion. Its product Respond uses natural language-based analysis to derive insights from any form of text-based data and among other results can produce analyses of customer sentiment, hot issues, trends and key metrics. The product supports what Attensity calls LARA – listen, analyze, relate, act – which is a form of closed-loop performance...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        I’ve been using spreadsheets for more than 30 years. I consider this technology tool among the five most important advances in business management of the 20th century. Spreadsheets have revolutionized many aspects of running an organization. Yet as enthusiastic as I am about them, I know the limits of desktop spreadsheets and the price we pay if we fail to respect those limits. The essential problem arises when people use desktop spreadsheets for purposes beyond what they were originally...

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        Topics: Sales Performance, Supply Chain Performance, Office of Finance, Reporting, enterprise spreadsheet, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Visualization, Workforce Performance, Risk, benchmark, Financial Performance Management

        Just about all the CIOs I speak with are at an inflection point in their careers. Some are just biding time before retirement, but many are emerging CIOs who are driven more by a business imperative than a technological one. Today, market and cultural pressures are forcing CIOs to move quickly and be flexible. In many ways, this is antithetical to the posture of IT, which can often be described as slow and methodical. This posture however is no longer sustainable in the era of the six forces of

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        Topics: Big Data, Sales Performance, cio callenges, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), Technology Innovation

        Back in July I wrote about Kana’s acquisition of Ciboodle and its previous acquisition of Overtone and what seemed to be its ambitious plans to release an integrated version of the products. I went so far as to say Kana would have “something unique to offer” if it pulled off this effort. Now, almost nine months to the day, it has launched a new version of Kana Enterprise, and from what I saw in a prelaunch briefing it does seem to be something unique. Billed as “the first omni-channel customer...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Voice of the Customer, Kana, Mobile Apps, Self-service, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        As most employers are aware, the Patient Protection and Affordable Care Act (PPACA or Affordable Care Act) goes into effect in January 2014 which I recently assessed the need to be technology ready. The new law was signed into law on March 23rd 2010 and with the Supreme Court decision in June of 2012 which upheld the law and the re-election of President Obama in November, the law complex regulatory requirements that businesses need to understand before then. Those that don’t prepare may incur...

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        Topics: Equifax, eThority, HCM, Office of Finance, Obamacare, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Workforce Performance, TALX, Healthcare Reform

        I read a lot these days about how companies should pay more attention to contact center agent or customer service representative satisfaction, as it can have an impact on customer experience and meeting key customer-related metrics. This is a far cry from the “good old days” when agents were often locked away in a dark, dismal place and told to answer as many calls as possible. My research into the agent desktop shows that many companies have indeed latched onto these new priorities, and the...

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        Topics: Customer Experience, Social CRM, Operational Performance, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Workforce Force Optimization

        At the beginning of the year I wrote analyst perspective outlining why I think Salesforce.com is a vendor to watch during 2013. I followed this up with a post noting that Salesforce has shifted its headline messaging from becoming the “collaborative company” to becoming the “customer company” – a message that resonates better with me. During a recent analyst event, the theme of becoming a customer company remained the main message, but this time the emphasis moved to marketing, as the...

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        Topics: Sales Performance, Salesforce.com, Social Media, Customer Analytics, Customer Experience, Social CRM, Voice of the Customer, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        Last week, IBM brought industry analysts to its famed Almaden Research Center, where the company outlined its big data analytics strategy and introduced a number of new innovations. Big data is no new topic to IBM, which has for decades helped organizations store and use data. But technology has changed over those decades, and IBM is working hard to ensure it is part of the future and not just the past. Our latest business technology innovation research into big data technology finds that...

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        Topics: Big Data, SAP, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), IBM, Information Applications, Operational Intelligence, Oracle

        The last time I reviewed ClickFox it was primarily focused on capturing how callers transverse IVR menus. It produced visual maps of what options callers used and thus how they navigate what can be quite complex menus, allowing users to identify the most common paths and thereby optimize these to meet common customer requirements and business needs. Since that time the market has changed considerably, and ClickFox’s current products now support companies as they try to identify how customers...

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        Topics: Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Clickfox, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics, Unified Communications

        Like all analysts, I have a series of classifications to help group together vendors with similar capabilities. My challenge is to create categories that align with most users’ expectations so I don’t confuse readers when I define which category a vendor falls into. My “big five” are WFO or agent performance management (quality monitoring, workforce management, training and coaching, remuneration, and agent-related analytics); contact center infrastructure, including cloud-based systems...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Interactive Intelligence, Unified Communications

        A recent news release by Robert Half, a staffing company that specializes in accounting and finance personnel, covered what it sees as the most important attributes required for auditors in the 21st century. “7 Attributes of Highly Effective Internal Auditors” covers the people dimension of the profession and focuses on the non-technical requirements of the role, including relationship-building, teamwork, and diversity. No doubt these skills are a must for just about anybody working in a modern...

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        Topics: Fraud, Governance, GRC, Office of Finance, audit, Analytics, Business Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), compliance, Infor, Risk, HANA, Oversight Systems

        SAP recently announced its new Fraud Management analytic applications. Currently in “controlled” (limited) release, it’s a promising start for the product and a good example of the type of business process revolution that’s possible when companies can execute complex analytics on big data sets using in-memory and other advanced processing techniques. Over the next several years a wide swath of basic corporate processes will be transformed by the shift to in-memory processing and big data...

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        Topics: SAP, Fraud, Governance, GRC, Office of Finance, audit, Analytics, Business Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), compliance, Risk, HANA

        ParAccel is a well-funded big data startup, with $64 million invested in the firm so far. Only a few companies can top this level of startup funding, and most of them are service-based rather than product-based companies. Amazon has a 20 percent stake in the company and is making a big bet on the company’s technology to run its Redshift data warehouse in the cloud initiative. Microstrategy also uses ParAccel for it's cloud offering, but holds no equity in the company.

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        Topics: Big Data, MicroStrategy, Office of Finance, Paraccel, Analytics, Cloud Computing, Uncategorized

        I began my involvement with contact centers – actually they were called call centers in those days -more than 20 years ago. I quickly learned that almost everyone involved in running a contact center is obsessed with metrics: queue times, average call handling times, agent utilization, average length of after-call work – the list seemed to be endless. Since joining Ventana Research I have carried out numerous benchmark studies into customer and contact center performance, and found things...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        This is annual report season, the time of year that a majority of European and North American corporations issue glossy paper documents aimed at investors, customers, suppliers, existing and prospective employees as well as the public at large. (Some countries have different conventions; in Japan, for instance, most companies are on a March fiscal year.) In reviewing some of the annual reports that are available on the Web, I was struck by the absence of advanced reporting technology used on...

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        Topics: Office of Finance, extended close, US-GAAP, XBRL, Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), CFO, compliance, financial reporting, SEC, Digital Technology

        This year’s Inspire, Alteryx’s annual user conference, featured new developments around the company’s analytics platform. Alteryx CEO Dean Stoecker kicked off the event by talking about the promise of big data, the dissemination of analytics throughout the organization, and the data artisan as the “new boss.” Alteryx coined the term “data artisan” to represent the persona at the center of the company’s development and marketing efforts. My colleague Mark Smith wrote about the rise of the data...

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        Topics: Predictive Analytics, Sales Performance, Tableau, alteryx, Absolute Data, data artisan, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Information Applications, Operational Intelligence

        One of the most important IT trends over the past decade has been the proliferation of ever wider and deeper sets of information sources that businesses use to collect, track and analyze data. While structured numerical data remains the most common category, organizations are also learning to exploit semistructured data (text, for example) as well as more complex data types such as voice and image files. They use these analytics increasingly in every aspect of their business – to assess...

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        Topics: Planning, Predictive Analytics, Customer, Human Capital Management, Office of Finance, Budgeting, close, closing, Finance Analytics, PRO, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, CFO, Risk, costing, FPM, Profitability

        IBM recently announced its new Customer Experience Lab. During a briefing I learned that the lab is a response to what IBM discovered by interviewing more than a thousand CMOs, who are concerned about the explosion of data companies collect about their customers. This explosion is being driven by changing customer communication preferences and the way customers now interact with organizations, which I recently highlighted in my post about the 2.0 world. My research into the contact center in...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, IBM, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        SAS Institute held its 24th annual analyst summit last week in Steamboat Springs, Colorado. The 37-year-old privately held company is a key player in big data analytics, and company executives showed off their latest developments and product roadmaps. In particular, LASR Analytical Server and Visual Analytics 6.2, which is due to be released this summer, are critical to SAS’ ability to secure and expand its role as a preeminent analytics vendor in the big data era.

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        Topics: Big Data, Sales Performance, SAS, Supply Chain Performance, LASR, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Location Intelligence, Operational Intelligence, SAS institute

        I recently attended the annual SAS analyst summit to hear the latest company, product and customer growth news from the multi-billion-dollar analytics software provider. This global giant continues to grow its business and solutions to help with fraud prevention, marketing and risk. It lets users apply its analytic and statistical technology in practical applications for business. SAS can meet midsized businesses’ demand with packaging and pricing to ensure it is not seen as only affordable to...

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        Topics: Big Data, Predictive Analytics, Sales Performance, SAS, Fraud, GRC, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Operational Intelligence, Risk

        Organizations have been talking about how to effectively analyze customer data for more than three decades. This has evolved into a desire for a “360-degree view of the customer” - a comprehensive picture drawn from all available data. As yet, not many organizations have achieved it. Our recent research into customer relationship maturity shows that fewer than one-third (31%) of organizations produce a single set of reports and analysis that the whole organization uses to support...

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        Topics: Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        I’ve frequently commented on the artificiality of the emerging software category of governance, risk and compliance (GRC). The term is used to a cover a combination of what were once viewed as stand-alone software categories, including IT governance, audit documentation and industry-specific compliance management, to name three examples. While it’s still common for specific types of software to be purchased piecemeal by different departments, these disparate areas have started a long...

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        Topics: Big Data, Performance Management, Predictive Analytics, Customer Experience, Governance, GRC, Management, Operational Performance, Analytics, Business Performance, Financial Performance, compliance, finance, Risk, financial risk management, IT Risk Management, Sarbanes Oxley, SOX

        I recently wrote that Salesforce.com was a vendor to watch during 2013, and during a recent briefing I heard more messages that support this view. First there was confirmation about financials. Even though the company is only 14 years old and the overall economy is not exactly booming, revenues for 2012 were up 35 percent to $3.05 billion, with Europe matching this with a 37 percent year-on-year growth. This not only shows the company is here to stay, but that the cloud is now well and truly...

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        Topics: Sales Performance, Salesforce.com, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Big data analytics is being offered as the key to addressing a wide array of management and operational needs across business and IT. But the label “big data analytics” is used in a variety of ways, confusing people about its usefulness and value and about how best to implement to drive business value. The uncertainty this causes poses a challenge for organizations that want to take advantage of big data in order to gain competitive advantage, comply with regulations, manage risk and improve...

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        Topics: Predictive Analytics, Sales Performance, SAP, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Information Applications, Information Management, Data Discovery, big analytics

        Data is a commodity in business. To become useful information, data must be put into a specific business context. Without information, today’s businesses can’t function. Without the right information, available to the right people at the right time, an organization cannot make the right decisions nor take the right actions, nor compete effectively and prosper. Information must be crafted and made available to employees, customers, suppliers, partners and consumers in the forms they want it at...

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        Topics: Big Data, Analytics, Business Analytics, Cloud Computing, In-Memory Computing, Information Applications, Information Management, Information Optimization, Strata+Hadoop, Digital Technology

        Like me, you have no doubt spotted the propensity for software vendors and consultants to call anything new “2.0”; for example, we have ERP 2.0 and CRM 2.0. Just recently during a joint Aspect and Microsoft presentation, the companies went one step further and introduced the concept of the 2.0 customer meeting the 2.0 company. My first reaction was one of horror, but as I thought about it, it became clear that customers have changed and so companies need to change to keep up – welcome to the...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        I recently attended the Unified Communication Expo exhibition and conference in London to find out how much communications has been changing. As I entered the exhibition center the first thing I noticed was the huge variety of vendors on show, everything from major brands in the telecommunications industry (Aspect, AT&T, BT, Cisco, Mitel, Nokia and Siemens Enterprise Communications) to some major brands perhaps not so associated with telecommunications (Dell, Citrix, Google and Microsoft), to...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        I was discussing the United States Securities and Exchange Commission’s (SEC) eXtensible Business Reporting Language (XBRL) mandate with a former head of investor relations at a Fortune 100 company. His take on it is much the same as that of everyone else involved with corporate reporting: it doesn’t produce much value and costs a bundle to comply. I related to him my thoughts on the lack of progress I saw in making the XBRL mandate more useful to corporations and investors alike. Making XBRL...

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        Topics: Office of Finance, Reporting, extended close, US-GAAP, XBRL, Analytics, Business Performance, Financial Performance, CFO, compliance, financial reporting, FPM, SEC, Digital Technology

        Human capital analytics used to be simple. It focused on compliance reporting, showed basic information and was an afterthought in most applications.  Today analytics is the centerpiece of many human capital management applications and involves many sophisticated tools, because it delivers the some of the greatest value of any process in all HCM.  Our next-generation workforce management benchmark research found that 61 percent of companies surveyed are planning to invest in improving their...

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        Topics: HCM, OrcaEyes, Analytics, Business Analytics, Cloud Computing, Information Applications, Workforce Performance, Talent Management, Workforce Planning

        SiSense gained a lot of traction last week at the Strata conference in San Jose as it broke records in the so-called 10x10x10 Challenge – analyzing 10 terabytes of data in 10 seconds on a $10,000 commodity machine – and earned the company’s Prism product the Audience Choice Award. The Israel-based company, founded in 2005, has venture capital backing and is currently running at a profit with customers in more than 50 countries and marquee customers such as Target and Merck. Prism, its primary...

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        Topics: Big Data, Sales Performance, Tableau, elasticube, Operational Performance, Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Qlik

        The first positive signs for the “the new Genesys” emerged just 100 days after its sale by Alcatel was completed last year, and those positive signs have continued. The company has not only maintained strong development of its core products but has also made an aggressive move into the contact center mid-market, the contact center in the cloud market, and the multichannel communications management market. It strengthens its position now with the announcement of its acquisition of Angel.com.

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Genesys, Mobile Apps, Self-service, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        Our recent benchmark research project, Spreadsheet Use in Today’s Enterprise, demonstrated that some companies have made modest progress in addressing spreadsheet issues, but there’s still much left to be done. Desktop spreadsheets can be an important source of productivity but, as I’ve noted, you need to understand their limitations and understand the practical alternatives. Users underestimate the impact of spreadsheet problems on their productivity because they tend to overlook the myriad...

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        Topics: Sales Performance, Supply Chain Performance, Office of Finance, Reporting, enterprise spreadsheet, Operational Performance, Analytics, Business Performance, Customer & Contact Center, Financial Performance, Visualization, Workforce Performance, Risk, benchmark, Financial Performance Management

        LogiXML has been around for more than a decade, but has seen particularly robust growth in the past year. Recent announcements show the company with better than 100-percent year-over-year growth, driven by a 97 percent license renewal rate and new customer growth in SMB, departmental and OEM deployments. The 158-percent growth for the embedded analytics group for the fourth quarter on a year-over-year basis was particularly strong.

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        Topics: Sales Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Information Applications, agile, LogiXML

        The challenge with discussing big data analytics is in cutting through the ambiguity that surrounds the term. People often focus on the 3 Vs of big data – volume, variety and velocity – which provides a good lens for big data technology, but only gets us part of the way to understanding big data analytics, and provides even less guidance on how to take advantage of big data analytics to unlock business value.

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        Topics: Big Data, Microsoft, SAP, SAS, Excel, designed data, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Location Intelligence, Operational Intelligence, Oracle, SPSS

        Transera is an established contact center in the cloud vendor with in-depth interaction routing capabilities. During a recent briefing I learned that it has now supplemented these capabilities by launching a new product that it calls Adaptive Customer Engagement. Although it’s not entirely obvious from the name, the product uses big data analytics to analyze past customer interactions, profile customers, then use these insights to optimize current and future customer-facing activities such as...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Transera

        Cisco is without doubt best known as a supplier of networking systems. Its products have been used by companies large and small to build local and wide area networks. It has played in the contact center space as a provider of network and call management systems that sit between public networks and contact center agents to manage the delivery of interactions to the right extensions and provide agents with softphones so they can manage inbound and outbound calls. These systems were designed to...

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        Topics: Sales Performance, Social Media, Customer Experience, Logitech, Mobile Apps, Operational Performance, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Cisco, Contact Center, Contact Center Analytics, CRM, Unified Communications, Upstream Works, Social, Workforce Force Optimization

        I’ve been using electronic spreadsheets for more than 30 years. I consider this technology among the 20th century’s top five most important advances in business management. Spreadsheets have revolutionized every aspect of running any organization. A spreadsheet (specifically, VisiCalc) was the original “killer app” that made business people feel the necessity to buy a personal computer.

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        Topics: Sales Performance, Supply Chain Performance, Office of Finance, Reporting, enterprise spreadsheet, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Visualization, Workforce Performance, Risk, benchmark, Financial Performance Management

        Profit Velocity Solutions’ PV Accelerator is an analytic application designed to enable capital-intensive companies to consistently achieve substantially wider margins and higher return on assets (ROA). Companies in industries such as specialty chemicals, building materials, integrated steel mills and silicon chip fabrication (to name just four) routinely fail to make the right decisions about pricing, production and sales management because they use analytic methods that, from an economic...

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        Topics: Performance Management, Sales, Sales Performance, Supply Chain Performance, Human Capital Management, Office of Finance, PV Accelerator, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Price Optimization, Profit Velocity, Profitability, Software, S&OP

        My recent research into the contact center in the cloud shows the typical agent’s life is not an easy one. Agents are expected to handle more types of interactions that arrive through more communication channels as found in our research with inbound, email and outbound in use by more than 74 percent of organizations, meet an increasing number of performance metrics, and leave each caller feeling happy with the interaction. And they have to do this with a desktop that my research shows can only...

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        Topics: Sales Performance, Social Media, Customer Experience, Social CRM, LiveOps, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Workforce Force Optimization

        To mark the fourth anniversary of the Securities and Exchange Commission’s (SEC) interactive data mandate, Columbia Business School (my alma mater) and its Center for Excellence in Accounting and Security Analysis (CEASA) published a review of the current state of eXtensible Business Reporting Language (XBRL) that notes the manifold issues that plague this promising technology. From its perspective, three key issues hamper greater use of XBRL. The first is the high error rate in the tagging...

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        Topics: Office of Finance, extended close, US-GAAP, XBRL, Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), CFO, compliance, financial reporting, SEC, Digital Technology

        You would think that all organizations would want to maximize the value of every customer relationship, but my research over the last couple of years suggests otherwise. Three particular insights stick in my mind. My research into customer analytics shows that overall customer lifetime value ranked only sixth most important customer-related metric, compared to the highest-ranked, customer service costs, which was selected by 54 percent of respondents versus 31 percent for customer lifetime...

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        Topics: Sales Performance, Customer Experience, Office of Finance, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM

        IBM this week announced its pending acquisition of the Star Analytics product portfolio. Star Analytics is a privately held company that offers products designed to provide easy access to and integration with Oracle Hyperion data sources. While Star Analytics has a good product and solid references, it has lacked critical mass to support more effective sales and marketing efforts. Star Analytics’ strategic value to IBM lies in its ability to unlock data held in Oracle Essbase multidimensional...

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        Topics: Reporting, closing, Essbase, Hyperion, Analytics, Business Analytics, Business Performance, Cloud Computing, Data Integration, Financial Performance, IBM, Information Management, Oracle, Financial Performance Management, Star Analytics, TM1

        MicroStrategy CEO Michael Saylor has a keen sense of where things are headed. He sees mobile and social as the two drivers of a world based largely in software. Last year I covered the announcements at the MicroStrategy events in Amsterdam and the vision Saylor put forth in his keynote speech. MicroStategy World 2013 last month finds the company delving into such diverse areas as identity management, marketing services and integrated point-of-sale applications. The uniting factor is mobile...

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        Topics: MicroStrategy, Mobile, Sales Performance, Social Media, Customer Experience, alert, Mobile Intelligence, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Location Intelligence, Operational Intelligence

        Intradiem is a vendor that not many people have heard about, for the simple reason that it is actually Knowlagent, which recently announced a complete rebranding. The company says the new brand better reflects its product and service capabilities. Knowlagent was all about allowing companies to automatically manage how agents utilize their time in those often very short periods when they are not answering calls or carrying out other fixed tasks, such as taking a training course. The latest...

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        Topics: Sales Performance, Customer Experience, Social CRM, Intradiem, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM

        The electronic spreadsheet is among the top five most important advances in business management to come along in the last hundred years. It revolutionized almost all aspects of running an organization. It was the original “killer app” that made it necessary for people to go out and buy a personal computer. Yet our recent benchmark research project Spreadsheet Use in Today’s Enterprise confirmed advice we have been giving for the past decade: Spreadsheets are a fabulous tool but they have...

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        Topics: Office of Finance, Reporting, enterprise spreadsheet, Analytics, Business Analytics, Business Performance, Financial Performance, Visualization, Risk, benchmark, Financial Performance Management

        OnviSource is best known for its OnviCenter Product Suite, which includes what is commonly referred to as workforce optimization (recording, quality, monitoring, workforce management, analytics) plus a telephony platform that includes a soft, IP-based PBX, IVR and call routing. It is available on-premises or through the company’s cloud-based option, OnviCloud. Recently OnviSource added a further option, OnviLink, and announced enhancements to OnviTel, its telephony platform.

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        Topics: Sales Performance, Customer Analytics, Customer Experience, Speech Analytics, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, OnviSource, Workforce Force Optimization

        Taxes – both indirect (sales or value added taxes, for example) and direct (income taxes) – are one the largest expense items on the corporate income statement. In recent years it has become common for large and even midsize companies to automate their indirect tax management process, but direct tax management has remained a bastion of manual processes built on a heap of desktop spreadsheets. In previous blog posts I discussed this issue and the role of the tax data warehouse as a necessary...

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        Topics: ERP, GRC, Office of Finance, audit, finance transformation, Tax, Analytics, Business Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, CFO, Vertex, FPM

        I recently wrote how Enghouse Interactive is building a portfolio of products to support contact center in the cloud. The foundation of all its products is the handling of interactions through a comprehensive set of communication channels. My research into the contact center in the cloud shows that after the adoption of CRM in the cloud, companies are most likely to adopt contact centers in the cloud because they support consumers that want to interact through more channels, and because of the...

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        Topics: Customer Experience, Enghouse interactive, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Unified Communications

        I hadn’t come across Vertical Solutions until a recent briefing, from which I found that the company offers an interesting combination of field service management and CRM. Vertical Solutions has offices around the world, and its target market is companies with between 50 and 2,500+ users in the manufacturing, outsource contact center services, healthcare and residential services markets. It began with a focus on field service and has expanded to include CRM, or, as I would call it, customer...

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        Topics: Social Media, Customer Experience, Voice of the Customer, Mobile Apps, Self-service, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Vertical Solutions

        Actuate this week announced BIRT Analytics, and thereby puts itself firmly into supporting a range of business analytics needs from data discovery and visualization to a range of data mining and predictive capabilities that allows itself new avenues of growth. Actuate has long been a staple of large Business Intelligence deployments; in fact the company claims that ActuateOne delivers more insights to more people than all other BI applications combined. This is likely true, given that Actuate...

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        Topics: Data Scientist, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Financial Performance, Information Applications, Operational Intelligence, Data Discovery, commodity model, Quinterian

        Recently Verint announced a new development in its workforce optimization suite Impact 360 Workforce Optimization that it calls Personalized Guidance. It aims to improve the customer experience by prompting anyone handling customer interactions with what they should do next. The principle is simple and logical: Analyze all the data you can so you understand the customer and context of the interaction, identify best next action, and prompt the person handling the interaction with this action so...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Verint, Workforce Force Optimization

        The majority of companies think it is important to collect customer feedback, according to my recent research into customer feedback management, and they put that feedback to an average of five uses, the top five of which are to improve customer service (75%), to develop customer experience and interaction processes (54%), to identify agent training needs (54%), to improve products (50%) and to create a customer service strategy (49%).

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        SAP just released strong preliminary quarterly and annual revenue growth, which in many ways can be attributed to a strong strategic vision around the HANA in-memory platform and strong execution throughout the organization. Akin to flying an airplane while simultaneously fixing it, SAP’s bold move to HANA may at some point see the company continuing to fly when other companies are forced to ground parts of their fleets.

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        Topics: Sales, Sales Performance, SAP, Supply Chain Performance, Business Objects, Business Objects predictive analytics, Crystal reports, Operational Performance, Visi, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Operational Intelligence, Workforce Performance, cognos insight, SAP predictive analytics, Sybase IQ

        Human capital is most organizations’ largest investment and one of their largest differentiators against the competition. So it follows that those that take advantage of the compelling, game-changing technology now available in human capital management (HCM) will place themselves at a competitive advantage.

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        Topics: Big Data, Social Media, HCM, Human Capital Management, Learning, Office of Finance, Social Collaboration, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Workforce Performance, CFO, Compensation, finance, HR, Talent Management, Workforce Management

        My recent benchmark into the unified customer service agent desktop shows how critical the agent desktop is to improving agent satisfaction, meeting key customer-related metrics and enhancing the customer experience. The typical agent desktop contains multiple systems that allow agents access to multiple communication channels, business applications, messages and performance dashboards. The result is that the desktop is cluttered with systems, frustrating agents, driving up average interaction...

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        Topics: Sales Performance, Customer Experience, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Cisco, Contact Center, CRM, Upstream Works, Workforce Force Optimization

        My research into the customer service agent desktop shows that most centers expect a lot of their contact center agents: more than half (59%) handle between two and five different services (such as general queries, complaints and sales) and 14 percent handle seven or more. Nearly half (49%) are expected to handle between six and 15 calls per hour, and as well as calls, the majority (75%) are expected to handle other forms of interactions, with most handling between one and five per hour. To...

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        Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Did you catch all the big data analogies people used in 2012? There were many, like the refinement of oil analogy, or the spinning straw into gold analogy, and less useful but more entertaining ones, like big data is like a box of chocolates, or big data is like The Matrix (because “there’s no way Keanu Reeves learns Kung Fu in five seconds without using big data”). I tend to like the water analogy, which I’ll use here to have a little fun and to briefly describe how I see the business...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Data

        At the beginning of 2012 Ventana Research predicted that six major technologies would have an impact on the provision and supply of IT systems, and that these would bring about innovation in the way organizations support their business. Each of the six – business and social collaboration, mobile, analytics, cloud computing, social media and big data – has affected how organizations engage with their customers, but I don’t believe the full impact has yet been fully realized. Indeed, in some...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        For the past couple of years I’ve been pointing to the importance of in-memory computing to the future of business applications. It’s an integral part of Ventana Research’s business and finance research agenda for 2013, and it’s one of the core technologies that senior executives should have an appreciation for because it can transform all core business processes, especially those that are analytic in nature.

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        Topics: Mobile, Predictive Analytics, Real-time, Sales Performance, SAP, Supply Chain Performance, ERP, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, In-memory, Workforce Performance, CRM, finance, Social, Business Suite, Financial Performance Management, HANA

        Despite the recession, 2012 was a busy year in the contact center, customer service and customer experience markets. Ventana Research completed four benchmark research studies into customer relationship maturity, contact center in the cloud, customer feedback management and agent desktop. Overall these show that organizations are slowly maturing in the processes, people, information and technology they use to support customer-facing activities. However, they also show many of the old issues...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Operational Performance, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        Businesses always see a lag between when technology makes some advance possible and when a majority of companies actually adopt it. There’s even a longer lag between the emergence of an advance in a business process or technique and the time it takes to become mainstream. When we write our research agendas at the top of each year, we have to strike a balance between focusing on the new and different, which is still many years away from general acceptance, and the mainstream, which has been...

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        Topics: Big Data, Planning, Predictive Analytics, Sales Performance, Governance, GRC, Office of Finance, Budgeting, close, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, CIO, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), In-memory, Workforce Performance, CFO, Risk, CEO, Financial Performance Management, FPM

        In early 2012 I wrote a blog post about how Verint was overcoming some of its product integration issues by using an information-driven approach that allows users to drill down from key performance metrics into underlying application data. The latest version of its Impact 360 Workforce Optimization suite extends this approach and supports a flow of data between applications and workflows that enables cross-application processes. The suite of products includes interaction recording, workforce...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Verint, Workforce Force Optimization

        In today’s competitive markets, many organizations recognize that customer service represents an opportunity to differentiate themselves from their competition. However, our research into the agent desktop shows that providing excellent customer service is a real challenge in many areas, starting with managing the channels of communication required to offer customers a choice in how they interact with the company. My research into customer and contact centers shows that over the last 18 months,...

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        Topics: Sales Performance, Customer Analytics, Customer Experience, Voice of the Customer, Operational Performance, Analytics, Business Performance, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        Customers have always been important to companies, but what are the best metrics to measure the success of customer-related activities, and how well companies meet customer expectations?

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        Topics: Customer Analytics, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Customer & Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics

        It’s hard to believe that Salesforce.com was launched only 14 years ago. It has since grown into a multi-billion-dollar company that has changed the way companies source software. Back in the early days its two primary messages were “the end of on-premises software” and “a new era of CRM in the cloud.” Today the first message seems to have softened somewhat, with its own website talking about products and applications, and of course many companies still use traditional on-premise applications....

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        Topics: Salesforce.com, Social Media, Customer Analytics, Customer Experience, Social CRM, Voice of the Customer, Mobile Apps, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        Ventana Research has been researching and advocating operational intelligence for the past 10 years, but not always with that name. From the use of events and analytics in business process management and the need for hourly and daily operational business intelligence, but its alignment with traditional BI architecture didn’t allow for a seamless system, so a few years later the discussion started to focus around business process management and the ability of companies to monitor and analyze BPM...

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        Topics: Big Data, SOA, Supply Chain Performance, business activity monitoring, business process monitoring, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Complex Event Processing, Customer & Contact Center, Operational Intelligence, Service Cloud

        Many organizations collect customer feedback, but my recent research into customer feedback management shows that most have yet to take advantage of modern techniques. The research shows that companies on average use approximately four methods. The most popular remain email and online surveys, listening to call recordings and outbound phone calls. Newer techniques such as reviewing social media posts, social media forums, mobile apps and mobile text-based conversations remain the domain of...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        This is the third in a series of blog posts on what CEOs (and for that matter, all senior corporate executives) need to know about IT and its impact on running a business. The first covered the high-level issues. As I noted, it’s not necessary for a CEO to be able to write Java code or master the intricacies of an ERP or sales compensation application. However, CEOs must grasp the basics of IT just as they must understand basic corporate finance, the production process and – at least at a high...

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        Topics: Planning, Predictive Analytics, Sales, Sales Performance, Customer, Human Capital Management, Office of Finance, Budgeting, close, closing, PRO, Operational Performance, Analytics, Business Analytics, Business Performance, Customer & Contact Center, Financial Performance, Information Management, CFO, CEO, FPM, Profitability, SPM

        Quantrix recently unveiled Quantrix 5, an updated version of its financial modeling software designed to fill the gap between spreadsheets and business intelligence (BI) systems. Quantrix provides users with many of the capabilities of an enterprise system and addresses shortcomings of desktop spreadsheet software without requiring extensive training.

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        Topics: Big Data, Planning, Sales, Sales Performance, Supply Chain Performance, FP&A, Office of Finance, Reporting, Budgeting, Quantrix, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Information Management, Workforce Performance, FPM

        I recently returned from Sweden, where QlikTech International hosted its annual analyst “unsummit.” Much of the information I was exposed to was under NDA, so I cannot talk about it here. What I can discuss, and what in many ways may be more interesting and more important, is the company’s focus on culture and philosophy.

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        Topics: Big Data, Data Visualization, QlikView, Tableau, Google, discovery analytics, exploratory analytics, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Location Intelligence, Operational Intelligence, Workforce Performance, Impala, big query, Qliktech

        We recently completed our benchmark research on next-generation business intelligence. Ventana Research looks as next-generation BI as a function of traditional BI that is converging with new technologies such as mobility, collaboration and cloud computing. Just a few years ago business intelligence might have been considered a mature category with incremental growth, but now it’s growing in new directions and it’s difficult today to call business intelligence mature.

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        Topics: Mobile, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Operational Intelligence, Workforce Performance

        Recently I completed a benchmark research project into the adoption of a contact center in the cloud, which I defined as the combination of contact center-related communications, applications and analytics in the cloud. Furthermore I defined communications in the cloud as the systems to manage interactions, inbound and outbound, through different communication channels: telephony, email, post, web-based chat, mobile chat, web-based messages, video, mobile apps and social media. The research...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Mobile Apps, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        Much is written these days about how consumers have changed their buying and communication habits, and how more are turning to social media to search for product and service information, complain, exchange news and opinions, and, well, to be social. This has led to predictions such as the demise of the contact center, marketing becoming the prime leader of customer experience, and social media becoming the dominant channel for customer service.

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Voice of the Customer, Mobile Apps, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        Over the last few weeks SAP has run several events for both customers and the analyst community to herald the launch of SAP 360 Customer in an attempt to regain ground in the CRM market and convince everyone that it has sorted out its cloud, mobile and collaboration strategy. One of the main user events was Sapphire NOW in Madrid earlier this month. From reports that I have seen, it seems that customers at that conference were far from convinced – and if customers are not convinced then...

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        Topics: Sales Performance, Salesforce.com, SAP, Social Media, Customer Analytics, Customer Experience, Social CRM, Voice of the Customer, Mobile Apps, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, CRM

        The parent company of mplSystems, Message Pad Ltd., was founded in the U.K. in 1994 and provides the infrastructure to support contact center operations. mplSystems’ main product family is intelligentContact (iContact), which is available either on premises or in the cloud. It is an interesting mix of products that covers call, email, chat, SMS, social media management and routing from a universal queue, a new social media product that routes social media posts to agents and provides the...

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        Topics: Microsoft, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications

        Tableau Software is growing fast. Tableau has taken a “land and expand” strategy that drives what they call the democratization of analytics within organizations. Tableau has enjoyed first mover advantage in the area of exploratory analytics called visual discovery, a growing type of business analytics that allows companies to easily visualize data in a descriptive manner, but the company is facing competition as deep-pocket companies such as IBM, SAP and others become more aggressive in the...

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        Topics: Big Data, Data Visualization, Sales Performance, Tableau, Google, discovery analytics, exploratory analytics, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, Operational Intelligence, Impala, big query

        I recently wrote a blog post about how Enghouse Systems is expanding its portfolio of contact center vendors, and another detailing more about what capabilities its products support. I noted that its acquisition trail wasn’t over and that it was in the process of acquiring Zeacom. Although not quite evident from the Zeacom website, that deal is now done and Zeacom is part of Enghouse Interactive. This means that Enghouse Interactive now has three major contact center products, so it was good to...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        I have challenged some of the hype about the social enterprise because I feel “social” gives the wrong impression. For most people, social media is predominately about being social. While everyone likes to feel that going to work is partly about being social, when it comes down to it running a business is about winning customers, selling them your products or services, and providing customer service when needed. In today’s competitive markets, none of these is an easy task.

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        I recently wrote how CallMiner had expanded into text analytics and had released its myEureka product, which in my opinion took the presentation of analytics to a new level. My colleagues agreed, and our firm awarded CallMiner the 2012 Ventana Research Technology Innovation Award for Customer Excellence.

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Callminer, Analytics, Business Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Vocalcom is one of the up-and-coming names in the contact center market. Founded in 1995, it is headquartered in France but has a worldwide presence, with 4,500 customers and more than half a million users of its services. It may not be as well-known as other companies in the same space because many of the customers are in southern Europe, and a high percentage are outsourcers who use its services to provide contact center services based on its platform. It offers what I call multichannel...

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        Topics: Salesforce.com, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vocalcom

        Ventana Research has just released the 2012 Value Index for Business Intelligence, in which we evaluate the competency and maturity of vendors and products. Our firm has been researching this software category for almost a decade. Our latest benchmark research in business intelligence found that new technology advancements in business intelligence are critical to its future; more than two-thirds of organizations will use BI on mobile technology in the next year, and more than a fifth will do so...

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        Topics: Microsoft, MicroStrategy, Pentaho, QlikView, Sales Performance, SAP, SAS, Social Media, Supply Chain Performance, IT Performance, Jaspersoft, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, InetSoft, Information Applications, Information Builders, Information Management, Location Intelligence, Operational Intelligence, Oracle, Tibco, Workforce Performance, arcplan, LogiXML, Spago Solutions

        Salesforce.com launched more than 12 years ago as the founding CRM vendor in the cloud. Today it has grown to be the kitchen-sink vendor in the cloud. It seems every month it announces some new cloud service, and its services now cover almost the entire enterprise: sales, marketing, service, HR, finance and a list of supporting services that make it hard to determine just what the company now has to offer. Two things remain clear, however: Salesforce.com has established cloud computing as a...

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        Topics: Sales, Social Media, Customer Analytics, Customer Experience, Social CRM, Voice of the Customer, Mobile Apps, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Text Analytics, Unified Communications

        Unlike other recent conferences that seem to focus almost exclusively on cloud computing, this week’s Teradata Partners Conference emphasized big data and analytics. The vision that Teradata lays out is one in which new technologies such as Apache Hadoop live side by side with more traditional enterprise data warehouses (EDW) and companies have the flexibility to define their own approaches to BI tools. This approach, at least in the near and medium terms, makes a lot of sense, and is backed by

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        Topics: Big Data, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Operational Intelligence, Teradata Aster

        SAP has inaugurated a new series of business applications it calls Enterprise Performance Management (EPM) OnDemand as a cloud-based subscription service. The applications are part of SAP’s EPM version 10 suite, which it introduced last year. It’s a first step in what is likely to be a portfolio of general-purpose, lightweight and relatively low-cost apps designed to be used on mobile devices. Using HANA on the back end, the applications can deliver high performance in accessing masses of...

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        Topics: Big Data, Performance Management, Sales Performance, SAP, Supply Chain Performance, Office of Finance, expense, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance, Business Applications, FPM, HANA

        I had the opportunity last week to visit PivotLink in the Bellevue, Washington, office that houses the company’s development team and marketing leadership to see its software. After taking the helm a little more than a year ago and putting a new team in place, CEO Bruce Armstrong has positioned the company above the fray of the crowded business intelligence software set. The company has smartly moved into the retail space with user-friendly tools that should appeal to mid-tier retailers and...

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        Topics: Retail Analytics, Sales Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Location Intelligence

        Unless you have some combination of a very strong credit rating, a high income-to-debt payment ratio and a relatively low loan-to-value ratio, it’s not especially easy to refinance a mortgage these days. That’s a shame, because there are plenty of people who have stayed current in meeting their credit obligations and whose mortgages are comfortably below current market value who could benefit from today’s record low interest rates. One major reason they can’t refinance is the collapse of...

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        Topics: Office of Finance, XBRL, Analytics, Business Analytics, Business Performance, Financial Performance, finance, capital markets

        At Oracle OpenWorld this week I focused on what the company is doing in business analytics, and in particular on what it is doing with its Exalytics In-Memory Machine. The Exalytics appliance is an impressive in-memory hardware approach to putting right-time analytics in the hands of end users by providing a full range of integrated analytic and visualization capabilities. Exalytics fits into the broader analytics portfolio by providing support for Oracle BI Foundational Suite including OBIEE,...

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        Topics: Big Data, SAP, exadata, Analytics, Business Analytics, Business Intelligence, Business Performance, Exalytics, IBM, Oracle

        In my more than a decade of writing on the trends and direction of the technology industry, occasionally I have talked about the dark side of technology industry analysts. In that vein, I wrote about the diminishing science of research in technology analyst firms, which has impacted the quality of the analysis and advice given by analysts. It built on my previous post on Why Bad Research Could Jeopardize Your Business. Unfortunately, the ethics and morals in the technology analyst industry have...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Market Research, Research, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, CMO, Industry Analyst, Influencers, Technology Vendors

        Call Centre & Customer Management Expo has been running for several years now. The event provides an opportunity for contact center and customer service managers in Europe to catch up with all the latest and greatest going on in the market. At this year’s event earlier this week, as usual, I found the normal mix of presentations, vendor exhibition stands and other side events. The vendor show included a mix of core contact center vendors (interaction management, CRM, WFO, customer experience...

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        Topics: Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        Confirmit is one of the leading vendors of market research services. It has a full range of products that support every step of the market research cycle. Its software lets users create surveys that can be delivered through multiple channels, perform panel management (managing teams of people that contribute to research programs), collect the data from completed surveys, and use a suite of reporting and analysis tools to gain in-depth insights from the data collected. The company has been...

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        Topics: Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Confirmit

        Enghouse Systems Ltd. is not one of the best-known brands in the contact center market, but if it keeps acquiring vendors at the rate it has been doing then it might soon be. It was founded in Canada in 1984, and from what I can see it is grown largely by acquisition to revenues of more than $120 million. It has morphed into Enghouse Interactive, which now represents nearly 90 percent of its parent company’s business. A quick look at its website shows that over its lifetime it has acquired six...

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        Topics: Customer Analytics, Customer Experience, Voice of the Customer, Enghouse interactive, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Unified Communications, Workforce Force Optimization

        Voice Print International recently announced it has selected Hewlett-Packard’s Autonomy to deliver speech and multi-channel analytics. This news means VPI joins a small group of vendors that can provide a view of customer interactions across multiple communication channels, which is of growing importance to companies. My research into the contact center in the cloud shows that companies now support an average of four to five channels of interaction with customers. Without a multi-channel view...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, VPI, Management, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Saleforce.com puts on a marketing event that no other software vendor can come close to. Any CEO that can get MC Hammer rapping about your company as an introduction to your keynote has to be admired. The actual content got mixed reviews; my colleague Mark Smith saw some shortfalls in how Salesforce.com supports analytics, while Robert Kugel felt the company’s cloud-based software could help midsize companies.

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        Topics: Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        I was at the Salesforce.com Dreamforce conference this week to hear about the latest advancements from the cloud computing software giant. Salesforce has helped revolutionize cloud computing for business, and its social media and collaborative technologies help advance business processes in sales, customer service and improve the interactions between employees, partners and customers. Salesforce has made great advancements in cloud, social and mobile technology, as I have assessed and my...

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        Topics: Big Data, Predictive Analytics, QlikView, Sales Performance, Salesforce.com, Social Media, Gooddata, SnapLogic, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, InetSoft, Information Applications, Information Management, KXEN, Operational Intelligence, Cloud9 Analytics, Domo, Information Builder iway, Roambi

        With more than 90,000 attendees registered and 100,000 more expected to watch via live stream on Facebook, Salesforce.com’s Dreamforce is the biggest technology event of this year. The conference kicked off yesterday morning with MC Hammer letting the packed house know that it was “Chatter time” and leaving little doubt about the theme of the Marc Benioff’s keynote speech: Social. Citing numbers from McKinsey and IBM, Benioff suggested that social adds $1.3 trillion to the economy and that CEOs...

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        Topics: Big Data, Mobile, Sales Performance, Social Media, IT Performance, Operational Performance, Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Location Intelligence, Workforce Performance, Social

        Thinking about big data and the swirling world of analytics that surrounds it can be overwhelming. Broad-based organizational and technological changes are driving a new industrial constitution built on time-to-value and closed-loop systems of organizational and machine learning.  As I analyze our next-generation business intelligence benchmark research results, I see trends in collaboration and mobile technology that will have a profound impact on business for generations to come. Given these...

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        Topics: Big Data, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Location Intelligence, Operational Intelligence

        In what will no doubt be one of a host of announcements coming out of Dreamforce, Genesys announced a new set of cloud-based services especially for Salesforce.com customers. Genesys is a well-known brand in the contact center market, but it has undergone significant change of late and is now an independent company in charge of its own destiny. This announcement demonstrates that it intends to become more responsive to market trends – and it probably can’t do better than to team up with ...

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        Topics: Salesforce.com, Customer Experience, Voice of the Customer, Genesys, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Unified Communications

        Many people these days talk about voice of the customer (VOC) programs and how they can improve business performance. The foundation of any VOC program is collecting customer feedback, analyzing it and using the insights to improve customer-focused processes, training and the use of technology. Changes usually focus on customer service, but increasingly companies are focusing on the customer experience – how companies engage with customers to resolve issues, provide information, close sales and...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Our recent benchmark research into the adoption of cloud-based systems to support contact center operations shows that around 10 percent of companies have adopted what is commonly termed communications in the cloud – that is, systems in the cloud to manage delivery of telephone calls to the right location, be it an internal extension number within an organization, a branch office number, a contact center extension or someone’s home or cell phone number. Given that telecommunication service...

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        Topics: Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, NewVoicemedia, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        As I listened to the keynote address at, conf2012, the annual Splunk user conference, my initial impression was that the company was spreading itself too thin. The company highlighted four rather formidable areas of organizational focus: Enterprise 5.0, the company’s flagship data platform, which is now in beta; Development, which is support for building applications and integrating Splunk within the broader IT infrastructure; Content, the continued development of core applications and use...

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        Topics: Big Data, Splunk, data fabric, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Operational Intelligence, Digital Technology

        Our recent benchmark research on the contact center in the cloud shows companies are under more pressure than ever to upgrade their contact centers. The large majority of companies (73%) think it is very important to improve the way they handle customer interactions, and only a small percentage are fully satisfied with their current applications (19%) or their communications (14%). Upgrading presents a significant challenge, however, because simple call centers that handle only phone calls have...

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        Topics: Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        Jaspersoft Business Intelligence Suite competes in the open source and broader BI market. Its customer base is mostly in the small and midsized business and OEMs and SaaS providers who can embed Jaspersoft code directly into their offerings. Earlier this summer, the company introduced Jaspersoft 4.7, which features advancements in interactive reporting, big data access and mobile business intelligence for Android. The 4.7 release brings interactive features such as segmenting and filtering,...

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        Topics: Big Data, Mobile, Jaspersoft, Operational Performance, Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications

        I had a refreshing call this morning with a vendor that did not revolve around integration of systems, types of data, and the intricacies of NoSQL approaches. Instead, the discussion was about how its business users analyze an important and complex problem and how the company’s software enables that analysis. The topic of big data never came up, and it was not needed, because the conversation was business-driven and issue-specific.

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        Topics: Big Data, Datameer, Predictive Analytics, Sales Performance, Supply Chain Performance, Planview, SuccessFactors, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, Information Management, Operational Intelligence, Workforce Performance, PivotLink

        After this summer’s SAS European analyst event, I wrote that I came away less than convinced SAS was truly committed to the cloud, based largely on the fact that most other vendors are blowing their cloud trumpets much louder than SAS. It seemed developments in and around customer intelligence and its other products were higher priority to the company than its cloud strategy. However, after a recent update, I was left with no doubt that the cloud is important to SAS and that the company has a...

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        Topics: SAS, Customer Analytics, Customer Data Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics

        A study by the McKinsey Global Institute published earlier this year suggests a coming shortage of more than 140,000 workers with deep analytical skills and a shortage of more than 1.5 million data-literate managers. I’m not sure how the study defined these roles, but I’d guess that those with deep analytic skills are those folks building the complex models, and the data-literate managers are those executives, middle managers and analysts who interpret the results and use the models to help...

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        Topics: Big Data, Data Scientist, Predictive Analytics, Sales Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Operational Intelligence, Workforce Performance

        The product page for Interactive Intelligence highlights what the company is best known for – IP-based business communications. This image is further strengthened by its flagship Customer Interaction Center platform, which offers organizations a fully featured multimedia contact center in the cloud. This offering includes multimedia communications in the cloud along with many of the capabilities that Ventana Research terms agent performance management. However, the company also offers a third...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Force Optimization

        Over the last several months, my colleague VP and Research Director Tony Cosentino and I have been assessing vendors and products in the business intelligence market as part of our upcoming Value Index. Tony recently wrote about the swirling world of business analytics, covering many of the dynamics of this industry. He and I have been reviewing the breadth and depth of over 15 of these vendors using our Value Index methodology, which examines the products closely in terms of usability,...

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        Topics: Sales Performance, Supply Chain Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Dashboards, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Location Intelligence, Workforce Performance, Expert Systems

        Over the years Tibco has provided infrastructure for enterprise data integration and has built a substantial installed base. Now the company positions itself as supplying next-generation analytics for big data through service-oriented architecture (SOA). SOA has been around for a while; Ventana Research has been tracking it since 2006 and conducted benchmark research on SOA. But it remains a vaguely understood technology. Our research shows that SOA is not clearly defined in the market and that...

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        Topics: Big Data, Predictive Analytics, Sales Performance, SOA, Spotfire, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Complex Event Processing, Customer & Contact Center, Information Management, Operational Intelligence, Tibco, CEP, Service Cloud

        For the past several years Ventana Research has focused more on analytics and their importance to improving business performance. We’ve done extensive benchmark research in business analytics, detailing how they are used generally in business and in major functional areas of companies as well as their application in specific industries. We adopted this focus because technology advances are changing the landscape of analytics. Its use in business management, for example, is getting new scrutiny...

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        Topics: Big Data, Performance Management, Planning, Sales Performance, Supply Chain Performance, Human Capital Management, Modeling, Office of Finance, Budgeting, driver-based, Operational Performance, Analytics, Business Analytics, Business Performance, Customer & Contact Center, Financial Performance, In-memory, Workforce Performance, best pracices, business value, cash management, challenge, financial planning

        I’ve challenged a lot of the hype about the social enterprise, because I feel “social” gives the wrong impression. For most people, social media is predominately about socializing. While everyone likes to feel that going to work is partly about interacting with friends, when it comes down to it running a business is about winning customers, selling them your products and services, and providing customer service when needed. In today’s competitive markets, none of these are easy tasks. As I look...

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        Topics: Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        For several years the U.S. Securities and Exchange Commission (SEC) has mandated that filers apply eXtensible Business Reporting Language (XBRL) tags to their financial statements. XBRL was developed to make it easier for investors to use a company’s financial information. Now XBRL US has kicked off its second annual XBRL Challenge, a contest designed to encourage development of open source analytical tools that can use XBRL-formatted corporate financial data from the SEC’s EDGAR database....

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        Topics: Office of Finance, Reporting, closing, XBRL, Analytics, Business Analytics, Business Performance, Financial Performance, Information Management, finance, Financial Performance Management, SEC

        Calabrio offers a suite of workforce optimization (WFO) products used in call centers that includes call recording, quality recording, workforce management and performance management, and it also offers a purpose-built speech analytics product. From a briefing and demonstration, I confirmed that the core WFO products support the capabilities that our research shows companies expect of these products. Ventana Research defines agent performance management (APM) as WFO plus capture of all forms of...

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        Topics: Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Calabrio, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Workforce Force Optimization

        Karmasphere has an interesting story to tell. Much like Datameer, which I recently blogged about, Karmasphere sits on top of the Hadoop distributed platform where companies such as ClouderaHortonworks and MapR compete. Karmasphere provides a collaborative environment and an analytical workbench that help companies write applications and workflows that run on top of Hadoop. The company’s business model looks to leverage legacy skill sets, such as SQL, which are already resident in most...

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        Topics: Big Data, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Collaboration, Customer & Contact Center, Information Applications, Information Management, Karmasphere, Strata+Hadoop

        Since it was founded in 1999, salesforce.com has been driving other vendors and end-user organizations to rethink how they supply and purchase software. The company has grown from being a supplier of CRM in the cloud to a vendor with diverse offerings that include a development platform, an app exchange, platforms that support marketing, sales and customer service, knowledge management, desktop technology, collaboration, website development, social media support and analytics. Along the way it...

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        Topics: Salesforce.com, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, LiveOps, NewVoicemedia, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Cisco, Contact Center, Contact Center Analytics, CRM, Interactive Intelligence, Text Analytics, Vocalcom

        A look at Enghouse Interactive’s Products page shows it is not the easiest of companies to understand. Listed are six products – companies actually – that make up the parent: Arc Solutions, CosmoCom, Datapulse, Synellect, TelRex and Trio. As yet this list doesn’t include the latest acquisition, Zeacom. All the businesses in some way connect to multichannel communications and the contact center, with products that range, respectively, from communication management systems for Cisco, a...

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        Topics: Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Enghouse interactive, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        VPI, a well established vendor in the workforce optimization (WFO) space, was recently rated as a Hot vendor in the Ventana Research Agent Performance Management 2012 Value Index, which extends the traditional definition of WFO to include multichannel interaction capture, agent-related analytics, and agent compensation management. VPI’s Hot rating is a tribute to the functionality and architecture of its suite, even though it doesn’t include a WFM product (instead, workforce management is...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, VPI, Knowlagent, Nexxphase, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Pipkins, Workforce Force Optimization

        Knowlagent has carved out a unique position in the agent performance management market. Everyone involved in running a contact center knows how difficult it is to manage agent time so that agents are available within service level agreement specifications to answer inbound customer calls, have sufficient time to carry out other essential tasks such as breaks, training, coaching and making outbound calls, but not burn themselves out. Our research into agent performance management shows that many...

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        Topics: Customer Analytics, Customer Experience, Voice of the Customer, Knowlagent, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Workforce Force Optimization

        This month Kana announced it had acquired contact center provider Ciboodle. This comes a few years after Ciboodle was acquired by Sword, a marriage that apparently didn’t work out because Sword, a predominantly services company, didn’t make the necessary investment in the Ciboodle products to keep them competitive. Kana, looking to expand its portfolio beyond service experience management, spotted that Ciboodle, with its customer experience management portfolio, provided a good, complimentary...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Kana, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Actuate, the driving force behind the open source Eclipse Business Intelligence and Reporting Tools (BIRT) project, is positioning itself in the center of the big-data world through multiple partnerships with companies such as Cloudera, Hortonworks, KXEN, Pervasive and a number of OEMs. These agreements, following on its acquisition of Xenos a couple of years ago, help Actuate address some big issues in big data, involving enterprise integration and closed-loop operational systems that provide...

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        Topics: Big Data, Pervasive, Eclipse, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Cloudera, Customer & Contact Center, Information Applications, Information Management, Operational Intelligence, Strata+Hadoop

        Planning portfolio risk follows the same basic tenets as other sorts of business planning. It must be done in the context of a time dimension. In business, short-term plans are developed with a lot of givens or constraints. For example, capacities are fixed, because it’s impossible to wave a magic wand and bring a new factory on line, stuff more machine tools into already jammed facilities or source more raw materials in a capacity-limited supply chain. Short-term plans also incorporate...

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        Topics: Sales Performance, GRC, Office of Finance, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Business Planning, Risk

        My research into customer experience management shows that companies are increasingly aware that the customer experience has a profound impact on business success. In almost equal numbers, participants said it determines the loyalty of customers (21%), the propensity of customers to recommend the company to others (21%), the amount of additional purchases they make (19%) and their general level of satisfaction (19%). Furthermore, companies also realize that good experiences save money, because...

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        We recently issued our 2012 Value Index on Financial Performance Management (FPM). Ventana Research defines FPM as the process of addressing the often overlapping people, process, information and technology issues that affect how well finance organizations operate and support the activities of the rest of their organization. FPM deals with the full cycle of finance department activities, which includes planning and budgeting, analysis, assessment and review, closing and consolidation, internal...

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        Topics: Mobile, Planning, Predictive Analytics, Office of Finance, Budgeting, closing, Consolidation, contingency planning, Analytics, Business Analytics, Business Performance, Financial Performance, CFO, Value Index, Financial Performance Management

        Our benchmark research into agent performance management shows that the majority of companies are not very mature in their use of people, processes, information and technology in handling customer interactions. Companies are most mature is their use of information, but even in this area they are hampered by their failure to use the latest technologies available to support their efforts.

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        Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, NICE Systems, Speech Analytics, Voice of the Customer, VPI, Call Copy, Enkata, Envision, Genesys, KnopahSoft, LiveOps, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Workforce Performance, Call Center, coaching, Compensation, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, OnviSource, Training, Verint, Workforce Force Optimization

        CODA’s Financials has a specific target market, from companies in the upper half of the midsize range to the lower end of the large range (that is, companies with 500 to 2,500 employees) in services (not manufacturing) businesses. CODA, the company, started in the 1990s and differentiated itself by designing ERP and accounting software to run on a multidimensional database rather than the more common relational databases of the day. This has proven to be an elegant approach, because businesses...

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        Topics: Sales Performance, ERP, Office of Finance, CODA, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, CFO, FinancialForce, financials

        One of the most important trends in business over the past 20 years has been the broadening use of information technology to manage and support activities. In the early decades of business computing, companies developed islands of automation for largely numeric functions such as billing, inventory management and accounting. Each ran on a proprietary system and engaged the time of a relative handful of employees. Today, just about everyone works with an IT system for at least some of their...

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        Topics: Big Data, Performance Management, Predictive Analytics, Customer Experience, Governance, GRC, Management, IT Performance, Operational Performance, Analytics, Business Intelligence, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), compliance, finance, Risk, financial risk management, IT Risk Management

        It’s clear that certain customers generate more profits than others, just as some products offer greater economic returns than others, as I’ve noted before. For this reason, efforts to improve customer profitability are not a new trend. Good managers have always looked for ways to achieve the highest sustainable margins. However, at some point, almost all businesses realize that increasing sustainable profitability can’t be achieved simply through increasing revenue or cutting costs. Those...

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        Topics: Sales Performance, Office of Finance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, CRM, Financial Performance Management, Profitability

        Callminer is best known as a vendor of speech analytics software. Along with its own suite, its products also are embedded in those of several other vendors to provide speech analysis. During a recent briefing, I learned that the company has not only expanded into text and social analytics but also that its latest release includes more features and a friendlier user interface, two requirements that my research shows are essential in persuading companies to more widely adopt analytics for...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Callminer, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Kognitio has been serving the analytics and data needs of organizations for more than 20 years with an in-memory analytics platform that meets many of the big-data needs of today’s organizations. Kognitio Analytical Platform provides a unique massively parallel processing (MPP) in-memory database that can rapidly load data and calculate analytics; it is available both in an analytical software appliance and via cloud computing.

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        Topics: Big Data, Data Warehousing, Social Media, alteryx, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Hortonworks, Information Management, Kognitio, Strata+Hadoop

        The demand for business information on mobile devices such as smartphones and tablets continues to increase, while the technology to support it has not. In our benchmark research on information applications, only 11 percent of organizations said they are very satisfied with their ability to provide such information, and their top two complaints with existing technologies are that they are too slow and not adaptable or flexible. The unique aspects of mobile technology, from the small screen size...

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        Topics: Mobile, Sales Performance, Supply Chain Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Workforce Performance, Digital Publishing, Roambi, Digital Technology

        Risk has always been an integral part of business, but our recent Governance, Risk and Compliance (GRC) benchmark research shows that companies deal with risk with varying degrees of effectiveness – especially operational risk. A majority of companies lag in their overall GRC maturity, as I covered in a recent blog post. Operational risk management should be of greater interest to executives today because they can have greater control of it than before. The expansion of IT systems to automate...

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        Topics: Big Data, Performance Management, Predictive Analytics, Sales Performance, Supply Chain Performance, Customer Experience, Governance, GRC, Management, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, compliance, finance, Risk, financial risk management

        Our benchmark research on business analytics finds that just 13 percent of companies overall and 11 percent of finance departments use predictive analytics. I think advanced analytics – especially predictive analytics – should play a larger role in managing organizations. Making it easier to create and consume advanced analytics would help organizations broaden their integration in business planning and execution. This was one of the points that SPSS, an IBM subsidiary that provides analytics,...

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        Topics: Big Data, Performance Management, Planning, Predictive Analytics, Marketing, Modeling, Sales Forecasting, Analytics, IBM, Uncategorized, SPSS

        I hear a lot of talk about  the impact of social media on customer service and the contact center. My research into customer relationship maturity shows much of this is only talk. The research shows that while many companies have rushed to create a Twitter handle and a Facebook page and put video on YouTube, most are struggling to integrate social media into their customer service or more broadly their customer engagement strategy and processes.

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Social Dynamx

        Hadoop, the big-data technology, has transformed businesses’ ability to cost-effectively store and process large volumes of data for analysis. Numerous companies have invested in supporting Hadoop, and some produce commercial versions of the open source technology. At last year’s Hadoop Summit Hortonworks had just started to establish itself as one of these providers. Now, at the 2012 Hadoop Summit, with a new CEO, Rob Bearden, a new head of marketing, John Kreisa, and other hires, it is moving...

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        Topics: Big Data, Datameer, IT Performance, Analytics, Business Analytics, Business Intelligence, Hortonworks, Information Applications, Teradata Aster, Strata+Hadoop

        Business has been getting smarter about using technology for analyzing processes and optimizing outcomes, but still has much room for improvement when it comes to operational management. Traditional project management has advanced to encompass financial and operational planning, including prioritization toward goals and expected outcomes, creating the concept of portfolio management. In essence, optimizing the use of people and processes associated with products and services along with...

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        Topics: Sales Performance, Supply Chain Performance, Portfolio Management, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance, CFO

        On the first morning of the Pitney Bowes (PB) Insights 2012 User Conference in New Orleans I had the opportunity to meet with John O’Hara, president of Pitney Bowes Software, and his management team. Given the staid reputation of the company, I expected to encounter more formal behavior and a highly structured meeting format. Instead I met an engagingly curious and purposeful management team with a fresh perspective and a portfolio of products that puts the company in the middle of the business...

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        Topics: Mobile, Social Media, Customer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Location Intelligence, InfoMgt; Location

        After the SAS analyst event last year, I wrote that it is hard to keep track of everything SAS has to offer because it had so many products and developments in the pipeline. Back from this year’s event, I can report that 2011 was successful, its revenue and worldwide presence are up, and SAS continues to expand its channels to market. On top of everything I saw last year even more products and developments are in the pipeline, but the theme and focus remain the same: enabling business analytics.

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Speech Analytics, Voice of the Customer, Management, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Governance, Risk & Compliance (GRC), Contact Center Analytics, Desktop Analytics, Text Analytics, Vendor(s)

        A main reason why desktop spreadsheets are pervasive in midsize companies (which we define as those with 100 to 1,000 employees) is that these organizations do not have the financial and manpower resources to implement and maintain traditional enterprise business intelligence and performance management systems. To address this gap in the market, several years ago IBM Cognos launched Express, a business intelligence and planning software package designed specifically for midsize companies as...

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        Topics: ERP, Office of Finance, Reporting, Budgeting, Analytics, Business Intelligence, Dashboards, IBM, Uncategorized, CFO, finance, Financial Performance Management

        Ventana Research was the first analyst firm to cover operational intelligence, and a while back I wrote how the products of Vitria support proactive customer service by using event data to anticipate likely impacts of operation issues on customer service. Our research into the use of analytics shows that while more mature companies have begun to adopt OI, they are mainly early adopters. In an effort to speed up adoption, Vitria has developed what it calls operational intelligence apps and it...

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        Topics: Predictive Analytics, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Vitria, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        More than 1,000 people attended the 32nd annual Information Builders Summit conference this week to learn about the company’s advances in big data, business analytics, cloud computing, mobile technology and social media, which CEO and founder Gerald Cohen announced and demonstrated during his keynote address. With WebFOCUS version 8, Information Builders has made significant strides in a range of technology areas to support analytics and visualization since my analysis after last year’s...

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        Topics: Big Data, Mobile, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Business Technology Innovation, IT Performance, IT Research, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Search

        Jacada pioneered what I call a smart agent desktop when in 1990 it created the tools that allow companies to develop a desktop application that follows the process of handling a call, hides applications behind a simple-to-use interface and automates access and updating of systems. This smart agent desktop enables agents to answer calls more efficiently and effectively and to focus on the customer. The product includes tools that allow developers to map the process of handling different call...

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        Topics: Predictive Analytics, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Jacada, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        I recently spoke with Oversight Systems, an operational intelligence analytics company that uses predictive analytics and optimization to help companies save money, reduce the risk of loss and fraud, and reinforce corporate governance and compliance efforts. Ventana Research views operational intelligence as an emerging technology with the potential for a high return on investment. By continuously monitoring activities in a company’s IT systems, Oversight’s Web-based software continuously,...

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        Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Fraud, Governance, GRC, Office of Finance, audit, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, controls, Oversight Systems

        Our benchmark research into the contact center in the cloud shows that almost all companies now support multiple communication channels to engage with customers. Most of them also involve multiple business units in handling inbound and outbound interactions. More companies now support at-home agents, and contact centers are becoming more distributed. These scenarios are a good fit for cloud-based systems, and the research finds that the top three ways organizations said they can meet these...

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        Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Echopass, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications

        When the Salesforce.com marketing machine rolls into town, you have to sit up and listen, and that’s what 14,000 attendees did at the latest Cloudforce event in London. The company took over a vast portion of the ExCel London Exhibition Centre to accommodate the keynote speech, lots of side events and meeting rooms and an expo floor where attendees could see demonstrations of every product and service, including many from partners showing what they have to offer.

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        Topics: Sales Performance, Salesforce.com, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, LiveOps, NewVoicemedia, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics, Vocalcom

        SAP is planning to acquire e-commerce company Ariba in a transaction worth about US$4.3 billion expected to close in the third quarter of this year. Ariba provides cloud-based collaborative business commerce through a Web-based trading community that enables companies to find, connect and collaborate with a global network of partners. Its Commerce Cloud is a platform that businesses can use to buy and sell goods. Currently, Ariba counts more than 700,000 companies worldwide attached to this...

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        Topics: Big Data, SAP, ERP, EDI, end-to-end, Analytics, Cloud Computing, Uncategorized, CRM, SCM

        I recently attended Vision 2012, IBM’s conference for users of its financial governance, risk management and performance optimization software. I reviewed the finance portion of the program in a previous blog. I’ve been commenting on governance, risk and compliance (GRC) for several years, often with the caveat that GRC is a catch-all term invented by industry analysts initially to cover a broad set of individual software applications. Each of these was designed to address specific requirements...

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        Topics: Governance, GRC, Office of Finance, OpenPages, Operational Performance, Analytics, Business Collaboration, Business Performance, Financial Performance, IBM, compliance, controls, IT controls

        I recently attended Vision 2012, IBM’s conference for users of its financial governance, risk management and performance optimization software. From my perspective, two points are particularly worth noting with respect to the finance portion of the program. First, IBM has assembled a financial performance management suite capable of supporting core finance processes as well as more innovative ones. It continues to build out the scope of this suite’s capabilities to enhance ease of use, deepen...

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        Topics: Performance Management, close, closing, IFRS, Analytics, IBM, Uncategorized, GAAP

        I have written several times that the market dynamics around customer relationships are changing faster now than at any previous time in my experience. Smartphones and tablets are changing the way consumers communicate, social media has opened up a channel of communications over which companies have little control, and finding new customers has become harder, so companies are placing more emphasis on retaining existing customers and increasing the amount of business they do with each. One...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Transcom

        I recently attended the 2012 Global Pricing Forum hosted by Nomis Solutions, a provider of software and services to banking and finance companies. This annual event brings together thought leaders and practitioners in the area of pricing and revenue optimization (PRO). This technique uses analytics to sift through large data sets to tease out customer behavior characteristics, identify customer segments and quantify their price sensitivities. These complex calculations require software designed...

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        Topics: Sales, Sales Performance, Supply Chain Performance, Office of Finance, credit, financial analytics, Nomis Solutions, PRO, Operational Performance, Analytics, Business Analytics, Financial Performance, banking, Financial Services

        A recent research project involving 7,000 consumers carried out by the Harvard Business Review concluded that to retain customers and get them to buy more products, organizations must make it simple for people to engage with them, provide information they trust and allow them to weigh their options before they buy. The research found that consumers are bombarded with information and choices, and as a result they tend to go down the easiest route, which often leads them to take a blinkered view:...

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        Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        One of the new products that Infor announced at its recent Inforum user conference (which I covered here) is Local.ly, which is designed to facilitate localization of its applications (that is, adapting them for languages, units of measure, statutory requirements, customary processes and other specific features of the places where they will be used). Local.ly is scheduled to be released in the third quarter of this year. Infor points out that among other tasks the software can be used to...

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        Topics: ERP, Office of Finance, Local.ly, Tax, Analytics, Business Analytics, Financial Performance, Governance, Risk & Compliance (GRC), Infor

        Interactive Intelligence announced Interaction Mobilizer, the latest application in its growing portfolio of products. As I recently wrote, Interactive Intelligence has come a long way since it launched its first software-based PBX in 1994. It was a pioneer in offering contact center applications in the cloud, which now include communications in the cloud and products for workforce optimization. The latest announcement follows similar ones from other vendors also announcing applications to...

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        Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

        I attended NICE Systems’ annual Interactions (Twitter #Interaction2012) conference in Nashville to get the latest from this growing global software business that focuses on customer-centric applications. If you have not heard of NICE you might not be primarily involved in managing and interacting with customers, the area in which NICE has been growing organically and by acquiring technology providers that complement its existing portfolio. As we discussed in recent analyses, and NICE acquired...

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        Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Governance, Risk & Compliance (GRC), Operational Intelligence, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

        I recently attended the second in the series of customer engagement days organized by the Directors Club (GB & NI). The format of the event was the same as the first day that I wrote about and included three keynote presentations and three roundtable sessions where attendees discussed how organizations should engage with customers. As for the first event I chaired the roundtable on perfecting multichannel customer engagement in the contact center and gave a keynote on how social media is...

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        Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Genesys, InContact, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, Noble Systems, Verint

        Marketing claims about a company’s innovation have become so common as to be almost meaningless, and this is true in the software business. That’s a shame because it obscures cases in which a vendor really is innovative. For example, at a recent partner and analyst event hosted by Interactive Intelligence (ININ), its CMO told me that ININ has stopped using the phrase “deliberately innovative”  because claiming to be innovative isn’t helpful in getting across its messages.

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        Topics: Microsoft, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Unified Communications, Workforce Management

        Verint is one of the major players in the contact center market, with two suites of products that support contact centers and voice of the customer analysis. The company’s website shows that these suites have been put together from a combination of in-house developments and acquisitions (Blue Pumpkin, Witness Systems, Mercom, Iontas, GMT and Vovici are among them). Although this strategy has allowed Verint to create comprehensive suites of products in both areas, it also created issues with...

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        Topics: Predictive Analytics, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management, Verint

        I’ve been advocating more intelligent use of spreadsheets for the better part of a decade. Ventana Research coined the term “enterprise spreadsheet” in 2004 to describe software applications that marry a Microsoft Excel user interface with a business rules server and a relational or multidimensional data store. This approach offers the best of both worlds in the sense of taking advantage of widespread familiarity and training with Excel while substantially reducing issues stemming from the...

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        Topics: Planning, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Reporting, Budgeting, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Workforce Performance, Data, Financial Performance Management, Microsoft Excel, Spreadsheets

        Last December NICE Systems announced a definitive agreement to acquire Merced Systems. I have been covering both companies for several years, and initially it wasn’t obvious to me why the acquisition made sense. My colleague Mark Smith wrote about the deal and expressed concerns about how the acquisition would impact both sets of customers and both organizations. Now it turns out that the Merced acquisition will have a much bigger effect on NICE than expected.

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        Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management

        SAS is one of the largest and best-known independent vendors of BI and analytics. The company’s website shows  16 product lines, and product variations to match almost every business analytics requirement in any industry. One of its core products lines is Customer Intelligence, which I wrote about last year. Customer Intelligence consists of four main components: strategy and planning, information and analytics, orchestration and interaction, and customer experience – among all these interesting...

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        Topics: Predictive Analytics, Sales Performance, SAS, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Customer Intelligence, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Contact Center Analytics, Desktop Analytics, Text Analytics

        Host Analytics has added new analytics and reporting resources to its cloud-based performance management suite. Business Analytics will offer a broad set of built-in analytics and reporting capabilities or, for companies with an existing business intelligence infrastructure (from vendors such as IBM, Infor, Oracle or SAP), the option of a self-service approach. I believe these new analytics and reporting capabilities give companies considering only on-premises performance management deployments...

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        Topics: Planning, Sales Performance, Reporting, Budgeting, closing, Consolidation, Host Analytics, XBRL, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Financial Performance, Workforce Performance, Data, benchmark, Decision Hub, Financial Performance Management, SEC

        In the last several years many companies have shifted away from the mad pursuit of new customers toward focusing on retaining existing customers and winning more business from them. Against that background I expected to see a resurgence of customer relationship management processes and systems, but instead there is a growing focus on social media, customer experience management (CEM) and voice of the customer (VOC). I have already voiced my concerns on the level of focus on social business. My ...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management

        Managing contact centers typically includes five areas: communications management, workforce optimization, business applications such as CRM, analytics and customer experience management. Last year I wrote about how inContact has evolved from a communications provider to sell a contact center in the cloud that supports most of those requirements. Its products cover communications (ACD, CTI, Dialer and IVR), workforce optimization (Quality Management, Workforce Management and eLearning, which...

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        Topics: QlikView, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Workforce Management, Verint

        The mandate by the U.S. Securities and Exchange Commission (SEC) that requires its filers to apply eXtensible Business Reporting Language (XBRL) tags to their financial statements has been in effect for several years. (XBRL is a core element of our Office of Finance Research Agenda for 2012.) One of the most important ideas behind this “interactive data” requirement was to make it as simple as possible for investors to be able to consume and analyze corporate financial data filed with the SEC....

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        Topics: Office of Finance, extended close, US-GAAP, XBRL, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, CFO, compliance, financial reporting, SEC, Digital Technology

        Recently I was introduced to Aria, which provides a billing and subscription management system in the cloud. Its target customer is any company that offers subscription- and/or usage-based services. Its core module allows users to set up a product catalogue that consists of plans (such as subscription charges or recurring use charges) and inventory items. Usage-based charges can be based on a scale; for example, the first 10 occurrences are charged at one rate, the next 10 at another rate and...

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        Topics: Customer Analytics, Customer Experience, Office of Finance, Social CRM, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Call Center, Contact Center, Contact Center Analytics, CRM

        If they haven’t done so yet, businesses ought to become acquainted with two relatively new concepts: customer experience management (CEM) and voice of the customer (VOC). Ventana Research defines CEM as the practice of managing the customer experience at all touch points regardless of the communications channel being used. To manage that experience, three types of systems are directly helpful: smart desktop technology to help employees deliver great experiences to customers as they are...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Callminer, ResponseTek, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        A desktop or laptop computer is an essential tool for people who carry out customer-facing activities, especially contact center agents. My benchmark research into the use of technology in contact centers shows that agents may have to use eight systems or even more to handle a simple interaction, and I heard of one case where agents had to navigate 50 screens within one application to close a sale. This all takes time, often leads to errors, frustrates the agent and undermines the customer...

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        Topics: Social Media, Customer Data Management, Customer Experience, Social CRM, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, CRM, Unified Communications

        The evolution from United States Generally Accepted Accounting Standards (US-GAAP) to International Financial Reporting Standards (IFRS) has been under way for more than a decade. I’ve commented on IFRS adoption before. It’s a hot topic for accountants and auditors because it goes to the heart of how companies keep their books.

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        Topics: Office of Finance, closing, Controller, FASB, IASB, IFRS, XBRL, financial performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), CFO, financial statement, GAAP, SEC

        For me, the most significant announcement to come out of the recent SAPinsider conference was the company’s formal release of Business Planning and Consolidation (BPC) running on HANA, SAP’s in-memory computing appliance. For me, HANA is a potential “game changer” for planning, statutory consolidation and other analytics-supported financial processes because of the substantial reduction it enables in processing time from loading to reporting. In-memory systems provide a substantial edge in...

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        Topics: Big Data, Mobile, Planning, Sales Performance, SAP, Social Media, Supply Chain Performance, Customer Experience, ERP, GRC, Office of Finance, Budgeting, IFRS, XBRL, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Financial Performance, In-memory, Workforce Performance, finance, Financial Performance Management, GAAP, HANA

        Like many other observers with a business perspective, I have been skeptical of unified communications, but a day I spent at the recent Unified Communications Expo 2012 went a long way to convincing me that unified communications has entered the mainstream. At this point I think organizations should consider it as a viable option to improve the efficiency of their communications systems, the ability to collaborate internally and with customers, and the effectiveness of their multimedia contact...

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        Topics: Microsoft, Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Dell, NEC, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, IBM, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Nokia, Vocalcom and Zeacom

        Businesses have long struggled to build ongoing, profitable relationships with their customers.  Our new benchmark research into customer relationship maturity shows that this is not getting easier. 

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        My namesake Jon Snow is chairman of the Directors Club (GB & NI), an association for professionals who focus on dealing with customers.Recently he organized the first of a series of customer engagement days designed to bring together senior representatives of U.K. companies to listen to a few presentations about hot issues in engaging with customers and more importantly to share experiences and concerns about key customer engagement issues in roundtable discussions, such as “the rise of the...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        Cicero provides what I call a smart desktop product. The software allows users to hide multiple applications behind an easy-to-use interface and build rules to complete tasks more efficiently and effectively, for example, specifying  what field to complete next or the next question to ask a caller. It enhances customer experience management by enabling users to focus on the customers rather than on how to access the various systems, data and information needed to resolve interactions. 

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Voice of the Customer, Cicero, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics

        Investing wisely in sales-related people and processes is a key to business success. In 2012, helping sales staff perform at their highest levels should be a top priority for management. That may take some effort, according to our benchmark research, which indicates that only 14 percent of sales organizations operate at the highest level of innovation and competitiveness. In recent years, most organizations merely discussed moving beyond using only their sales force automation application and...

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        Topics: Big Data, Mobile, Planning, Sales, Sales Performance, Social Media, assets, Learning, Office of Finance, Performance, Reporting, Sales Compensation, Sales Force Automation, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Workforce Performance, channel, coaching, commission, CRM, Sales Performance Management, SFA

        I attended the Alteryx user conference called Inspire 2012 (Twitter: #Inspire12) in Denver this week. This fairly new analytics software company has been gaining customers in a range of brand-name organizations such as Dick’s Sporting Goods, Supervalu, U.S. Cellular and VF Corp. The company focuses on meeting the needs of analysts across the business analytic spectrum including a geographic and location context for simplifying the analytic tasks and processes for the needs of business at the...

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        Topics: Big Data, Mobile, Predictive Analytics, R, Sales Performance, Supply Chain Performance, alteryx, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Data

        One trend in business software that’s still in its early stages but gathering momentum is the availability of modeling tools that fill the gap between desktop spreadsheets and enterprise systems. Granted this “early stage” has been under way for quite some time, but the technology has finally progressed to the point where I expect it to get increasing market traction.

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        Topics: Big Data, Database, Planning, Sales Performance, Forecast, Office of Finance, Essbase, Quantrix, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Financial Performance, In-memory, Workforce Performance, finance, analysis, analytical application, business model, business plan, financial model

        Now finishing our first decade of providing research and education for business and IT professionals, we at Ventana Research have learned what it takes to improve the value of processes and performance in many industries. This is no easy task; it requires thorough and wide-ranging research on the best (and worst) practices that organizations need to understand as they try to increase their competency and effectiveness – and our firm is committed to that work. For 2012 we are moving forward from...

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Sustainability, Market Research, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Information Technology, Location Intelligence, Operational Intelligence, Workforce Performance, Industry Analyst

        In all the years I have spent building contact centers and tracking this market, from both business and technology perspectives many things have not changed. Center managers are still under pressure to drive down costs, customers generally are not satisfied with the way their interactions are handled (perhaps less so), and organizations still aren’t making the most of customer interactions. However, as noted in my predictions for 2012, I am expecting more rapid change in the next couple of...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        A few months ago, evaluated Zeacom CommunicationsCenter (ZCC), which provides a multichannel contact center that is integrated closely with business process automation. This allows organizations to build a contact center tied to their interaction-handling processes and deliver any form of interaction to the person most qualified to handle it. At the time of my review, the product ran alongside products from the likes of Avaya, Cisco and NEC, and was resold and supported by the partner...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Zeacom

        I recently got an update from Workday that focused mostly on its Financials software. This part of the company’s business management suite has received less development attention than the HR aspects since the company’s founding in 2005. The bulk of Workday’s development investment has aimed at making its human capital management applications an industry leader and adding related capabilities such as payroll. It’s hard to argue against this strategy, if only because Workday is the spiritual...

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        Topics: ERP, Office of Finance, expense management, financial, PSA, Operational Performance, Analytics, Business Analytics, Business Mobility, Business Performance, Cloud Computing, Financial Performance, Oracle, Workforce Performance, Infor, Tidemark, Workday, Professional Services, Project Management

        The products of Enkata have generally been designed for what Ventana Research terms performance management for customer service and call centers, including applications connected to agent performance management (quality monitoring, coaching, training and related analytics) and operational performance analytics based on transactional, structured data. Recently Enkata has taken a new direction with its branding (“changing the customer experience”) and has been filling out its portfolio of...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Callminer, Enkata, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Management, OpenSpan

        Business analytics and big data are common topics of conversation in the business and information technology markets, but these technologies are only building blocks to help businesses manage performance. Entering the conversation is Actuate, which for years has had a performance management division that provides software for managing progress toward objectives through a variety of analytic and action-focused techniques. The company has announced release of a promising new generation of its...

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        Topics: Big Data, Mobile, Predictive Analytics, Sales Performance, Supply Chain Performance, Performance Analytics, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance

        Ventana Research believes that to provide excellent customer experiences it is necessary to understand what customers want and their likely behaviors, and one direct way to achieve this is by collecting and analyzing customer feedback. The challenge for organizations in this regard is that most customers are reluctant to complete surveys unless they are provided at an appropriate time, in an easy-to-use format and through the channel of their choice. Confirmit’s Horizons products support...

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Confirmit

        There is a lot of talk today in customer service circles about the “voice of the customer” (VOC). For some people it means speech analytics (literally the voice of the customer), some others use it as an equivalent to the “360-degree view” of the customer, and for others it is about customer feedback. At Ventana Research we take a broader view and define VOC as reports and analysis that include as much customer information as possible. It should draw data from all available customer sources and...

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        Topics: Predictive Analytics, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management

        One of the major issues IT executives face is how to charge their departmental costs back to each part of the business according to their usage. It’s a touchy issue that can be the source of end-user disenchantment with the performance and contribution of the IT organization. Ultimately, charge-back friction can hobble IT’s ability to make necessary investments in new capabilities and become the primary cause of misallocated IT spending. The two risks are related: Unless an IT department can...

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        Topics: Performance Management, Office of Finance, Budgeting, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Enterprise Software, Financial Performance, CFO, CEO

        I recently received an update from ERP software vendor Epicor, my first since it was acquired in May 2011 by Apax Partners, a private equity company, and simultaneously merged with Activant, an ERP and point-of-sale software company serving midsize retailers and distributors. In my view, taking the company private is a good idea since it will have to make ongoing investments that would not have been treated kindly by the stock market. Bringing Epicor and Activant together (and perhaps adding...

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        Topics: Big Data, Microsoft, Mobile, SAP, Social Media, Supply Chain Performance, ERP, Dynamics, Epicor, Sage, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Financial Performance, Oracle, Workforce Performance, CRM, Infor, Social, Financial Performance Management

        Clarabridge is an established vendor of text analytics products, which it sells both directly to the market and indirectly through an extensive set of partnerships with companies such as MicroStrategyIBM Cognos and Verint. Recently it has been marketing its applications under the category of customer experience management (CEM). To me, CEM is about personalizing and influencing the customer experience while an interaction is in progress. Organizations cannot do this without the right...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        My colleague Mark Smith and I recently chatted with executives of Tidemark, a company in the early stages of providing business analytics for decision-makers. It has a roster of experienced executive talent and solid financial backing. There’s a strategic link with Workday that reflects a common background at the operational and investor levels. As it gets rolling, Tidemark is targeting large and very companies as customers for its cloud-based system for analyzing data. It can automate alerts...

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        Topics: Big Data, Data Warehousing, Master Data Management, Performance Management, Planning, Predictive Analytics, Sales Performance, GRC, Budgeting, Risk Analytics, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Data Integration, Financial Performance, In-Memory Computing, Information Management, Mobility, Workforce Performance, Risk, Workday, Financial Performance Management, Integrated Business Planning, Strata+Hadoop

        After reviewing the benchmark research I carried out during 2011 into customer and contact center analytics, the use of technology in contact centers and the adoption of cloud-based contact centers and systems, I have come up with a list of critical investments that I predict will distinguish customer and contact center management in 2012.

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        While we will wait until January to publish our recommendations for the new year, we can digest the lessons learned in 2011 within the technology markets and with Ventana Research right now. That’s appropriate, since we at Ventana Research are committed to helping you with solid information and education. We help thousands of organizations make a better, faster, safer, smarter and more cost-effective environment for leveraging technology to its fullest extent. Our benchmark research worldwide...

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Sustainability, Market Research, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, CIO, Cloud Computing, Customer & Contact Center, Enterprise Software, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Information Technology, Location Intelligence, Mobility, Operational Intelligence, Workforce Performance, CFO, Industry Analyst, Technology

        Management decision-making typically involves a three-step process of inform, analyze and act. In the earliest days of what came to be known as business intelligence, developers created decision support systems that provided information and analytics to help executives and high-level managers choose the best course of action. Working with numbers rather than gut instinct still is viewed as a best practice. After all, a pilot who doesn’t trust his or her instruments is heading for an accident.

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        Topics: Big Data, Performance Management, Planning, Sales Performance, Supply Chain Performance, Modeling, Office of Finance, Budgeting, closed loop, contingency planning, driver-based, driver-based planning, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, In-memory, Workforce Performance, best pracices, business value, cash management, challenge, financial planning

        Cloud-based systems have arrived as an option for how organizations source their IT systems, now and in the future. Proponents of the cloud – of which I am one – will tell you they have several major advantages over conventional on-premises systems. They require little upfront capital expenditure; the major costs come as a monthly “rental” charge for using the service rather than an annual license; they are less demanding on in-house resources; they are quicker, easier and less risky to...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        The old proverb “When all you have is a hammer, everything looks like a nail” applies well to the management of customer relationships. If business technology vendors are to be believed, managing customer relationships involves – indeed, is driven by – software. 

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        NICE Systems last week announced an agreement to acquire Merced Systems, a provider of business applications for customer service and sales organizations. This acquisition slipped by with little fanfare, but it marks a significant milestone for NICE, a major provider of applications and technology for call centers and a player in their evolution into multichannel contact centers. Building on a good 2010, as my colleague Richard Snow noted, NICE expects to reach almost $800 million of revenue in...

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        Topics: Predictive Analytics, Sales, Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Marketing, Merced Systems, NICE Systems, Revenue Performance, Sales Compensation, Sales Force Automation, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Workforce Performance, Call Center, CFO, CMO, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Sales Performance Management, SFA, Text Analytics, Unified Communications, Workforce Management

        I thought of writing a note on this topic when multinational corporations started to withdraw their deposits from eurozone banks, but the pessimism that event engendered was short-lived. Now, as the monetary crisis deepens in Europe, it’s perhaps time to ask what your company would do if parts of its financial system implodes. You may think that your company will not be affected because it doesn’t do business with the eurozone. Or you may believe that it’s unlikely to happen and therefore not...

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        Topics: Big Data, Performance Management, Planning, Sales Performance, Social Media, Supply Chain Performance, Modeling, Office of Finance, Budgeting, contingency planning, crisis, driver-based, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance, best pracices, business value, cash management, challenge, financial planning

        Doing one’s homework is vital in buying business software. However, unless you’re replacing a relatively simple application, it’s hard to know exactly what to evaluate. Indeed, if people in a company given this task don’t have experience in using a specific type of business application or don’t understand how new or improved functionality will help execute business processes better, they may do a poor job of assessing the available alternatives. Third-party consultants may be helpful, but their...

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        Topics: Performance Management, Sales, Sales Performance, Human Capital Management, Office of Finance, Zilliant, Model N, Navetti, Nomis Solutions, PROS Pricing, Servigistics, Signal Demand, Operational Performance, Analytics, Business Analytics, Business Performance, Customer & Contact Center, Financial Performance, Oracle, Vendavo, Price Optimization, Profitability, Software, Vistaar Technologies

        Actuate, which develops commercial versions of the open source Business Intelligence Reporting Tool (BIRT) technology, recently held a one-day event in London. My colleague Mark Smith covers Actuate’s products, but I was impressed by the simplicity of the company’s message, the core of which is that the ActuateOne suite of products allows companies to extract data from multiple data sources, use one product to analyze it and present the results in multiple formats in response to individual user...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        It never ceases to amaze me, when you ask people what their business objectives are and how they are measured, how often the two have little in common. This has been the case consistently in the research I have carried out over the last eight years into customer service and contact center performance. The main objective for contact centers is to improve customer satisfaction, but the key performance metric is average call-handling time. Despite hours of contemplation and discussions with...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        For years building a call center was technically challenging as it typically involved integrating proprietary products from multiple vendors. Although more vendors now offer integrated solutions, even these can difficult to administer and use because of variable user interfaces and gaps in the integration. These challenges become harder as companies expand their contact centers to support multiple communication channels and agents of several kinds dispersed over multiple locations.

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Zeacom

        It has been a busy year for relationships among vendors in the contact center market and despite tough economic times, it doesn’t look like things are slowing down. For example, early this year Salesforce.com acquired Radian6 to strengthen its position as a supplier for what it calls “the social enterprise.” This is not a term I particularly like, but there is no doubt CEOs are interested in understanding what customers are saying about them on social media, and so this looks like a smart move....

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, [Vendor references]

        Throughout this year we have seen more vendors begin to offer a contact center in the cloud. The latestis Transera, which offers an integrated set of products that focuses on enabling interactions for customer service agents. It has four main groups of products: operations management, agent management, media and call management, and routing and queuing. 

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Transera

        As its name suggests, demand-based pricing is a method that uses the buyer’s demand, based on an estimate of a good’s or service’s perceived value to the buyer, as the central element in setting price. Pricing strategies are most important because they can have a disproportionate impact (positive and negative) on a company’s bottom line. Managing prices has always been an activity of keen interest, but it has become even more so over the past decade as a result of the constrained pricing...

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        Topics: Performance Management, Sales, Sales Performance, Human Capital Management, Office of Finance, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Price Optimization, Profitability, Software

        Cloud computing offers companies opportunity to innovate in the ways their contact centers handle customer interactions. Systems vendors have been gradually moving call and other interaction management to the cloud, along with some of the core applications required to operate a contact center such as call recording, workforce management and analytics. Interactive Intelligence is one of the front runners in this market with its Customer Interaction Center. To approach potential customers that...

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

        I find that customer experience management (CEM) means different things to people. Recently I attended a seminar organized by Rapide, a U.K. technology vendor that specializes in helping companies improve their interactions with customers. The seminar included talks from speakers I don’t normally associate with CEM, and they opened up a new perspective that revolves around a concept I first explored while working at Price Waterhouse Consulting: Moments of Truth.

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Rapide, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        I have spent the last two days at the U.K.’s largest contact center trade show, which this year moved to London Olympia from the NEC in Birmingham. While the overall number of visitors seemed to be down, some exhibitors told me there were more high-level attendees with serious intent to purchase.

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        Topics: Predictive Analytics, SAP, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Call Copy, Enghouse interactive, Enkata, Genesys, NewVoicemedia, Nexidia, ShoreTel, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Cisco, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, and Verint, cTalk Ltd, Noble Systems, Digital Technology

        I hadn’t thought about the exact definition of “driver-based planning” until the question came up in the context of our planning benchmark research showing that only 6% of companies with more than 100 employees do driver-based planning. Broadly defined, the term could be applied to the use of any spreadsheet-planning model because these almost always have built-in volume-times-price formulas, which are components of driver-based plans. However, this is not what most people have in mind when...

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        Topics: Big Data, Performance Management, Planning, Sales Performance, Modeling, Office of Finance, Budgeting, driver-based, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Financial Performance, Workforce Performance, best pracices, business value, cash management, challenge, financial planning

        The assessment of a major focus of Oracle Open World by my colleague David Menninger sums up what I also see as the key strategic element of the event: the new appliance including that called Exalytics. My focus as an industry analyst is on the needs of the line-of-business user, not IT. And that’s the source of my ongoing frustration with this event: It’s not an application user’s conference, especially compared to the PeopleSoft and Hyperion annual gatherings of the past before Oracle...

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        Topics: Big Data, Hyperion, Open World, Analytics, Business Performance, Financial Performance, Oracle, financials, Fusion Applications

        I did not go to Oracle OpenWorld this year because it seemed the company was fixated on appliances and technology with little  emphasize on its Fusion applications business, which the focus on business is a major interest of our firm. Based on the reports of my colleagues on its applications discussion (See: “Apps Hard to Find at Oracle Open World“) and Oracle Exalytics (See: “Oracle Unveils BI Appliance Called Exalytics“) and my review of Oracle’s online materials and keynotes, I was right to...

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        Topics: Big Data, Mobile, Sales Performance, Social Media, Supply Chain Performance, Hyperion, Open World, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Financial Performance, Oracle, Workforce Performance, financials, Fusion Applications

        Interactive Intelligence recently released version 4.0 of its Customer Interaction Center (CIC). CIC provides companies with integrated communications and contact center functions that can be deployed on-premises, in the cloud or in a hybrid environment divided between them. 

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

        Recently Verint announced its intent to acquire GMT, a provider of workforce management products. My initial reaction was that Verint was primarily interested in acquiring GMT’s customer base to extend its already large share of the workforce management market. In a briefing Verint confirmed this but said there are other reasons behind its move as well.

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Verint

        NICE Systems has agreed to acquire Fizzback, a specialist vendor of customer feedback management software. On first read this appears to be another acquisition to gain market share, as NICE already provides a customer feedback tool; however, Fizzback’s customer base is much smaller than NICE’s, so this looks unlikely. Representatives of NICE explained to me that the acquisition is part of its long-term strategy to enhance its customer feedback management capabilities and to build a stronger...

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        As he opened last week’s Cloudforce 2011 conference in London, Salesforce.com CEO Marc Benioff declared that companies “must become social or die.” He reiterated the message in answer to a direct question I put to him during lunch with the media and analysts. I have heard several of his keynotes, and reviewed my colleague analysis from recent Dreamforce conference in San Francisco. and this one had a distinct change of emphasis. Benioff seems to feel that the cloud argument has been won, his...

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        Topics: Predictive Analytics, Salesforce.com, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        Ventana Research’s benchmark research into agent performance management shows that most companies recognize the vital role contact center agents play in creating good customer experiences and thus good business outcomes. The research also shows that only the most mature companies have put in place processes and metrics that encourage behaviors that deliver such business outcomes. Furthermore, the research shows that companies are held back from adopting more customer-related metrics because...

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Merced Systems, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        LinkedIn’s CRM experts group is hosting an active discussion about what are the top three CRM systems. Along with the blatant promotion of certain well-known products, you can’t fail to notice that the term means different things to people, and that systems gathered under this acronym may cover a range of capabilities. A closer examination of the discussion shows that a majority of discussion participants associate CRM with sales force automation, fewer with customer service and the fewest with...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Dovetail, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        Even here in the U.K., we are well aware that Salesforce.com’s annual event Dreamforce is happening this week in San Francisco. Unfortunately I couldn’t be there, but a contingent of the Ventana Research team is there, and from what they are telling me it is quite a show. I have written before that Salesforce has the best marketing machine in the world, let alone the software industry, and it seems to have topped previous events. The company undoubtedly has changed the way many companies think...

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        Topics: Predictive Analytics, Sales, Salesforce.com, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        In the past companies had two basic choices in how to provide call center services: internally or by outsourcing the service, typically to a company based where labor costs are low. Recently some companies have supplemented their in-company resources with home-based agents, and a growing number of providers offer outsourcing services in-country, for example, in North America. From a technology perspective as well, companies had two choices: on-premises or the outsourcer using its own...

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, [Vendor references]

        Just when it seemed that Hewlett-Packard’s new management team led by CEO Leo Apotheker had a growing and solidifying technology agenda that included mobile computing, yesterday it all changed.

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Sustainability, Google, Business Technology Innovation, IT Performance, IT Research, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, Cloud Computing, Collaboration, Customer & Contact Center, Enterprise Software, Financial Performance, Governance, Risk & Compliance (GRC), HP, Information Applications, Information Management, Information Technology, Location Intelligence, Mobility, Operational Intelligence, Workforce Performance, HP Touchpad, Digital Technology

        In the past year various vendors have begun to offer some or all of the systems required to build and run a contact center through a cloud-based service. I recently came across another one, Echopass, which has a different operating model than I am used to. Its core services are provided by products from two vendors that as yet don’t provide their products in the cloud: Genesys, which supplies call routing, intelligent front-door and intelligent back-office workflow, and Verint for workforce...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Echopass, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        Envision is an established provider of workforce optimization (WFO) products and last year was rated a “Hot” vendor in the Ventana Research Value Index for Agent Performance Management (APM). Its suite of products includes recording, quality monitoring, workforce management, coaching, e-learning, performance management and speech analytics. The WFO market is now quite competitive, and along with other vendors, Envision recently announced some product improvements. As well as a number of...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Envision, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        It has taken me a long time to recognize that companies function through a series of processes, mostly executed by people (employees) and supported by information and systems. I was familiar with process maps that show activities happening in sequence and branches caused by certain conditions, but these were mainly paper exercises; my working assumption was that people “just get on with things.” But looking closely reveals that getting on with things happens in processes. To help make this...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, OpenConnect

        Vitria is one of a small group of vendors offering a type of analytics called operational intelligence. The term is not widely known, although Ventana Research has defined and tracked this market for many years and researched. We define operational intelligence (OI) as “a set of event-centered information and analytics processes operating across the network that enable people to take effective actions and make better decisions.” For its part Vitria defines OI as “a new type of real-time,...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Vitria, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        Salesforce.com (SFDC) brought five customers to a recent U.K. analyst event to talk about how they used different SFDC services to solve what turned out to be down-to-earth business issues. SFDC of course would have us believe that moving to the cloud is the only way to purchase IT systems (in its parlance, services) and that it has all the services to solve any issue concerning CRM, sales management, customer service, contact center, social media or software development. Only individual users...

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        Topics: Predictive Analytics, Salesforce.com, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        I’m no great fan of three-letter acronyms, so I wondered what KANA Software means by positioning itself as the leader in service experience management (SEM), which is a term I had not heard. I have thought of KANA as a CRM vendor, but through a program of internal development and two acquisitions, it has transformed itself into something quite different. The acquisition of Lagan in 2010 added additional CRM functionality, enterprise case management and a track record of providing solutions to...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Kana, Lagan, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Overtone

        About a year ago I wrote that CallCopy had emerged as a major vendor of agent performance management (APM) software. Ventana Research has updated its definition of APM to mean the people, processes, information and systems involved in effectively managing the entire workforce that handles customer interactions, and this includes interaction recording, quality monitoring, workforce management, training, coaching, incentive management , agent-related analytics and performance management. Our...

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Call Copy, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        Verint recently announced that it has acquired Vovici,a vendor of enterprise feedback management systems. In light of the fact that Verint was recently rated the top vendor in the Ventana Research Value Index for Customer Feedback Management, at first it seemed odd that the company would buy another that offers a very similar product. In this situation the business driver often is to gain market share, with the net effect being that customers are left with fewer choices. Looking deeper reveals...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Verint, Vovici

        Our recently completed benchmark research on how finance departments use analytics makes clear that while they have a distinct competence in this area and execute the basics well, a majority of companies are immature in their use of advanced finance analytics. Regardless of industry or geography, few finance departments use predictive analytics or delve into important areas such as strategic profitability management. This is of note because these undertakings are no longer difficult to pursue:...

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        Topics: Predictive Analytics, Office of Finance, Finance Analytics, Analytics, Business Analytics, Business Performance, Financial Performance, CFO

        In my research area, a lot is said and written these days about optimizing the customer experience. Some say it is done by improving key performance metrics such as customer satisfaction (CSAT), net promoter score (NPS) and customer effort score (CES). Others say customer experience management (CEM) is the “new CRM”; some think it is part of a multichannel service strategy, and for others it is as simple as managing social media. In my view it takes all of these, and other efforts, to optimize...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Cicero, Cincom, MarketTools, ResponseTek, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Upstream Works, Confirmit, OpenSpan, Verint

        If you look at the SAS Institute home page it appears easy to identify what it does – “the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.” My colleague recently assessed them as the multi-billion dollar business analytics supplier which I would agree. However, at the company’s recent analyst event I learned that this description only skims the surface of what it really does; even SAS CMO Jim Davis said he couldn’t be...

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        Topics: Predictive Analytics, SAS, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Ventana Research recently completed groundbreaking benchmark research on how finance organizations use analytics these days. Of course, analytics have been a mainstay of finance organizations since people started using accounting ratios to assess the health and performance of a business. Yet perhaps because traditional analytics are so deeply entrenched, finance departments execute the basics well but don’t take the next step to fully utilize the power of information technology to use analytics...

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        Topics: Predictive Analytics, Sales Performance, SAP, SAS, Office of Finance, Operational Performance, Analytics, Business Intelligence, Business Performance, Financial Performance, IBM, Oracle, Cognos, Financial Performance Management

        In the customer service and contact center markets we used to talk about phone calls, letters, faxes and email; now we talk about “communications,” “interactions,” “contacts” and “touch points.”These four terms are used almost interchangeably to talk generally about actions involving customers and can include all forms of communication – calls, documents (letters, email, forms and surveys), website visits, text messages, instant message (chat) sessions and social media – over all types of...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Jacada was one of the first vendors to provide a unified desktop for contact centers. It simplified the agent’s desktop by replacing several application views with a single view that better followed customer conversations. It also interfaced between those applications so agents didn’t have to worry about which fields to update, where to find data or how many applications they had to use. The unified desktop also enabled agents to address customer issues more efficiently.  

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        Topics: Customer Analytics, Customer Data Management, Customer Experience, Voice of the Customer, Jacada, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        While the contact center business is not the most dynamic market, it is undergoing more changes than I have ever seen. One of the biggest changes is coming about because of cloud computing. This trend was led by salesforce.com, and the impact is now being felt in the contact center market as more vendors start to provide a “contact center in the cloud.” I recently wrote about inContact , one of the first vendors to provide a full contact center in the cloud. Recently inContact announced an...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Siemens Enterprise Communications

        My research into customer analytics shows three important things: Text analytics are at the early adopter stage; companies still use spreadsheets as their main tool for analysis; and to move companies away from spreadsheets vendors must offer tools that are as easy to use as spreadsheets. That’s no easy task, given the huge volume and varied types of text data companies are generating and the complexity of analyzing unstructured text. However, the research also indicates that this challenge...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Predictive analytics can be valuable tools for performance management. When the term is applied to planning or forecasting, many people take it to mean the ability to automate plans or forecasts. It’s true that using predictive analytics correctly is likely to enhance their accuracy, but these techniques do not eliminate the need for judgment; in practice, many organizations may realize more value from applying predictive analytics to assess results than to forecast outcomes. Moreover, as...

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        Topics: Big Data, Performance Management, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Budgeting, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance, Financial Performance Management, Integrated Business Planning

        Over the past six years big technology corporations have been acquiring all sorts of software companies, accelerating a general consolidation of the software industry since the dot-com boom ended in 2001. The consolidation has been driven in part by the deceleration of technology innovation in the business software market. Technology evolution, however, has been steady and progressed far enough now that I think we’re about to witness a revolution in how companies use analytics in business...

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        Topics: Big Data, Mobile, Planning, Sales Performance, Supply Chain Performance, Budgeting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Financial Performance, IBM, In-memory, Workforce Performance, Cognos, acquisition

        I have been writing quite a lot lately about the contact center in the cloud. Now it seems that more vendors are moving in this direction. One of them, inContact has evolved from a telecommunications carrier into a software vendor and now has a suite of products for a contact center in the cloud. It includes many of the necessary communications management capabilities (such as ACD, IVR, CTI and autodial) as well as key workforce optimization applications such as interaction recording, quality...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        In March U.S.-based text analytics vendor Clarabridge opened an office in the U.K. and recently celebrated it at the British Library in London. Sid Banerjee, the company’s founder and CEO, brought over key members of his team along with representatives of three U.S. clients. He explained that the new office would enable the company to support international clients better and allow expansion into European countries. The three clients then gave detailed presentations on how they use the...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Operational Performance, Analytics, Business Analytics, Business Intelligence, Customer & Contact Center, Customer Service, Information Management, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        The Directors Club of the U.K. recently held its inaugural National Customer Show in London. The event was well attended and attracted sponsorship from some of the biggest vendors in the contact center industry; among them were platinum sponsors Interactive Intelligence and salesforce.com, and session sponsors Nexidia and SwordCiboodle. I noticed three common themes, covering very different aspects of managing the customer, and I’ll hit the highlights of each.

        Social Media

        These days you can’t...

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        Topics: Predictive Analytics, Sales Performance, Salesforce.com, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Nexidia, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Workforce Management, SwordCiboodle

        To maintain a productive workforce, businesses need to be able to put information in front of users at every level, from executives to front-line managers. Mobile technologies such as smartphones and tablets can provide analytics and business intelligence (BI), but so far this market niche has been dominated by publishing dashboards and reports that conform to the limits of mobile platforms. Analytics and BI software developers usually opt to publish charts and tables to Web pages on a...

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        Topics: Sales Performance, SAP, Supply Chain Performance, Sustainability, Google, Smart Phones, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Mobility, Workforce Performance, Roambi, Sybase. Mobile Industry, Tablets, Digital Technology

        Recently Verint Witness Actionable Solutions announced the latest release of its Impact 360 Workforce Optimization software, which it calls the first  “fifth-generation” product in this space.

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management, Verint

        The earthquake, tsunami and nuclear plant trifecta that devastated Japan has had a negative impact also on companies that embraced the concept of managing a lean supply chain – one that minimizes inventories at each stage. If news accounts are to be believed, there seem to be legions regretting that decision as disruptions caused by the disasters have a ripple impact, hampering manufacturers’ ability to deliver goods worldwide. But although current events are a wake-up call highlighting the...

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        Topics: Performance Management, Sales Performance, Supply Chain Performance, Sustainability, Human Capital Management, Marketing, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Workforce Performance, Supply Chain

        As part of our largest-ever research study on business analytics, which surveyed more than 2,600 organizations covering the maturity and competency of business, IT and vertical industries, we looked at how IT is applying analytics to support their own business activities. One of the things we found is that, charged with enabling business units to use information systems as effectively as possible, the IT department, like the shoemaker’s barefoot children in the old tale, typically stands last...

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        Topics: Predictive Analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Information Applications, Information Management, Information Technology, IT Analytics, IT Service Management, ITIL, ITSM, IT Performance Management (ITPM)

        Unless you have been on a long vacation somewhere without newspapers, mobile phones or the Internet, you must have noticed all the buzz about social media – some of it factual and lots of it hype. Over a billion people use Facebook. There are many millions of tweets on Twitter every day, and YouTube has become the place to share videos, whether for a laugh, for a company’s brand awareness or for training courses. The key question for business is how much of this is useful for commerce and how...

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        Topics: Predictive Analytics, Sales Performance, Salesforce.com, SAS, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Genesys, ResponseTek, RightNow, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Most people associate SAP with enterprise software: ERP, CRM and more recently with business analytics and business intelligence. The majority also see the company as committed to providing these as on-premises applications and having only begun its presence in cloud computing for business applications. But there’s more to the story, as I recently discovered. With its Business Communications Management (BCM) software SAP has quietly diversified into the contact center market, while at the same...

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        Topics: Sales Performance, SAP, Customer Analytics, Customer Experience, Social CRM, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Call Center, Contact Center, Contact Center Analytics, CRM, Unified Communications

        Twenty years ago, when I began consulting in the contact center industry, building a call center was a hard, resource-consuming task. Just to begin handling calls required purchasing lots of proprietary equipment, such as PBXs and automatic call distributors (ACDs), as well as software for computer/telephony integration (CTI) and business applications such as case management and CRM – and then spending a lot of time and effort integrating them. Lots of tasks were managed using spreadsheets, and...

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        Topics: Predictive Analytics, Sales Performance, SAP, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, LiveOps, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, Contactual

        Interactive Intelligence (ININ) recently invited partners, consultants and analysts to Portugal to hear about the latest developments in its products. Not surprisingly given the extensive range of products it now supports, none of us had much time to enjoy Lisbon but were put through an intensive program of presentations and discussions.

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, RightNow, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

        In various forms, business intelligence (BI) – as queries, reporting, dashboards and online analytical processing (OLAP) – is being used increasingly widely. And as basic BI capabilities spread to more organizations, innovative ones increasingly are exploring how to take advantage of the next step in the strategic use of BI: predictive analytics. The trend in Web searches for the phrase “predictive analytics” gives one indication of the rise in interest in this area. From 2004 through 2008, the...

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        Topics: Predictive Analytics, Predixion, R, Revolution Analtyics, Sales Performance, SAS, Social Media, Supply Chain Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, IBM SPSS, Information Builders, Information Technology, KXEN, Netezza, Oracle, Tibco, Workforce Performance

        IQPC Europe, a global organizer of business conferences, recently held its Executive Customer Contact Exchange, where contact center and customer service executives and senior managers gathered to find out about developments in the management of customer interactions and the customer experience. Attendees had a variety of reasons for coming; the largest group consisted of attendees who (29%) said they were interested in customer experience management (CEM), while others expressed interest in...

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        Topics: Sales Performance, Social Media, Customer Experience, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, CRM

        The information management (IM) technology market is undergoing a revolution similar to the one in the business intelligence (BI) market. We define information management as the acquisition, organization, control and use of information to create and enhance business value. It is a necessary ingredient of successful BI implementations, and while some vendors such as IBM, Information Builders, Pentaho and SAP are in addition integrating their BI and IM offerings, each discipline involves...

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        Topics: Data Quality, Social Media, IT Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Technology, CIO, Complex Event Processing, Data Governance, Data Integration, Information Management, Information Technology, Operational Intelligence

        Creating the technology architecture for a modern contact center is no easy task. To do so, companies typically have to integrate lots of technology: systems to manage their communication channels (voice, e-mail, postal mail, mobile, Web, IM, etc.), systems to route interactions to the best available resource to handle the interaction, be it human or automated (routing, IVR, CTI, etc.), applications to manage the workforce that is handling interactions (quality monitoring, workforce management,...

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        Topics: Customer Experience, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, CRM, Contactual

        When the term “governance, risk and compliance” (GRC) was introduced almost 10 years ago, software for this purpose was not a real category but a loose grouping of disparate applications that had something to do with meeting the requirements of the recently passed Sarbanes-Oxley Act. (You can find my perspective on the GRC category from a couple of years ago here. Now, with the release 10.0 of SAP BusinessObjects GRC, SAP is taking another step toward making the software category a real,...

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        Topics: SAP, GRC, Office of Finance, IT Research, Operational Performance, Analytics, Business Intelligence, Business Performance, Financial Performance, Information Management, CFO, Corporate Governance, Governance Risk and Compliance

        Back-office operations in commercial and investment banks are among those critical functions that are underappreciated until they stop working well. This includes transaction reconciliations and the related exceptions management. Reconciliations are necessary to achieve a reasonable assurance of complete and accurate record of trading activity. The process is especially challenging now, partly because of today’s high and growing volumes in the wide range of asset classes in which all larger...

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        Topics: GRC, Office of Finance, Financial Governance, Reconciliation, Sungard, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Information Management, CFO, Corporate Governance, Governance Risk and Compliance

        According to IBM everything now has to be “smart,” and its latest announcement heralding smarter commerce addresses customer-related activities. I find it interesting, as I have been researching for some time about the need for a smarter agent desktop and smarter Web self-service. My perspective, derived from observations in my research, is that companies need to focus on effectiveness in providing positive customer experiences rather than today’s almost exclusive focus on efficiency in...

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        Topics: Sales Performance, Social Media, Customer Experience, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Call Center, Commerce, Contact Center, Contact Center Analytics, CRM

        The new CEO of Hewlett-Packard, Leo Apotheker, has unveiled his vision of the future in the consumer and enterprise markets. His announcement carried some suspense after interviews in which he said “HP has lost its soul” and added that he will “get rid of cynics” inside HP who try to undercut his mission. Now Leo has defined what his company calls Everybody On, which is described as “seamless, secure, context-aware experiences for a connected world.” He intends that HP will reposition itself in...

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Sustainability, Business Technology Innovation, IT Performance, IT Research, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, Cloud Computing, Collaboration, Customer & Contact Center, Enterprise Software, Financial Performance, Governance, Risk & Compliance (GRC), HP, Information Applications, Information Management, Information Technology, Location Intelligence, Mobility, Operational Intelligence, Workforce Performance

        There is a lot of talk today about customer experience management, but use of the term is vague, much as customer relationship management meant different things to different people. For some it is much the same as CRM, for others it is about using the voice of the customer to gain insights to make customer-related decisions. I have another view. Let’s consider phone calls, which according to my research into the use of technology in contact centers, is still the main way consumers interact with...

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        Topics: Customer Experience, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, CRM

        I recently attended SAS Institute’s annual analyst conference. My colleague covered the multibillion-dollar company’s strategy and the event. Now I want to look into some of the details of SAS’s products for business analytics and how they are supported with business intelligence (BI), and information management. Although SAS is not a publicly traded company and therefore is not required to make the financial disclosures that others are, the company revealed numerous financial statistics....

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        Topics: SAS, Social Media, IT Performance, Operational Performance, Analytics, Business Intelligence, Business Performance, Business Technology, CIO, Collaboration, Enterprise Software, Information Management, Information Technology, Mobility, Operational Intelligence

        The hospitality industry has a complex structure. It is highly fragmented, with many small operations but also a significant number of global companies. Moreover, a property can be managed by one company (the brand name over the door) yet owned by another, which might be a one-off local real-estate partnership or a larger-scale owner of multiple sites. The consumer side of hospitality has its own challenges as well, resulting from the dramatic shifts brought about by the Internet in how people...

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        Topics: Performance Management, Sales Performance, Hospitality, Operational Performance, Analytics, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Enterprise Software, Information Management, Infor

        The just-concluded SAS Institute analyst summit (Twitter: #SASSB) provided the annual update on the company’s performance, strategy, products and customers. My analysis of last year’s event talked about its continuation of its product roadmap to new customer acquisition and the broadening of its underlying platform, applications and vertical solutions. SAS is no small-time mover and shaker when it comes to the analytics industry; it extends from technology to tools and applications across...

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        Topics: Sales Performance, SAS, Social Media, Supply Chain Performance, Fraud, IT Performance, Operational Performance, Analytics, Business Intelligence, Business Performance, Business Technology, CIO, Collaboration, Customer & Contact Center, Enterprise Software, Financial Performance, Information Management, Information Technology, Mobility, Operational Intelligence, Workforce Performance, Risk

        SAP has launched its Enterprise Information Management (EIM) 4.0 release as part of its “Run Better Tour.”  It includes a broad range of information management components spanning data integration, data quality, data profiling, metadata management and more. The launch was done in conjunction with SAP Business Intelligence (BI) 4.0, which got much bigger billing at the event –to the point where one might call this a stealth marketing campaign. However, the event did identify three themes intended...

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        Topics: Data Quality, SAP, Social Media, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Technology, CIO, Complex Event Processing, Data Governance, Data Integration, Information Management, Information Technology, Operational Intelligence

        The contact center market is buzzing with talk about cloud-based computing. It began with applications such as CRM from salesforce.com, then came IBM with services based on hardware in the cloud and recently vendors such as ContactualinContact, and LiveOps have brought nearly complete contact centers into the cloud. As well, vendors such as Interactive Intelligence have announced communications in the cloud. Now I have always considered public communications to be in the cloud: How else does...

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        Topics: Customer Experience, CallTower, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, CRM

        Hello there! Starting this week, I’m part of the best independent research team in the business – the Ventana Research team – and I couldn’t be more thrilled. As the song goes, “What a long, strange trip it’s been” to get here.

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        Topics: Human Capital Management, Learning, Performance, Recruiting, Onboarding, Operational Performance, Analytics, Business Performance, Workforce Performance, Compensation, Hiring, Talent Management, Workforce Performance Management

        The just-concluded SAS Institute analyst summit (Twitter: #SASSB) provided the annual update on the company’s performance, strategy, products and customers. My analysis of last year’s event talked about its continuation of its product roadmap to new customer acquisition and the broadening of its underlying platform, applications and vertical solutions. SAS is no small-time mover and shaker when it comes to the analytics industry; it extends from technology to tools and applications across...

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        Topics: Sales Performance, SAS, Social Media, Supply Chain Performance, Fraud, IT Performance, Operational Performance, Analytics, Business Intelligence, Business Performance, Business Technology, CIO, Collaboration, Enterprise Software, Financial Performance, Information Management, Information Technology, Mobility, Operational Intelligence, Workforce Performance, Risk

        With the new year has come a significant advance in contact center technologies, enabling enterprises to roll out new applications and interaction-handling processes in record time. What used to take six months to a year to develop and deploy – and that was considered fast! – can now be done in a week or two, creating more potential for innovation in contact centers than I have seen in the last 20 years.

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        Topics: Customer Experience, Operational Performance, Analytics, Cloud Computing, Call Center, Contact Center, Contact Center Analytics, CRM

        Last week SAP launched the 4.0 Release of its Business Intelligence and Enterprise Information Management products in conjunction with the New York City stop on its “SAP Run Better Tour”. My colleague Mark Smith has already covered the announcement in the context of some of today’s major technology trends. In this post, I’ll focus on the specifics of the product announcements.

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        Topics: Sales Performance, SAP, Social Media, IT Performance, Operational Performance, Analytics, Business Intelligence, Business Performance, Business Technology, CIO, Collaboration, Enterprise Software, Financial Performance, Information Management, Information Technology, Mobility, Operational Intelligence, Workforce Performance

        At Informatica’s recent industry analyst summit, Chris Boorman, the company’s chief marketing officer, opened the event by describing Informatica as expanding beyond its core offering in data integration in a broader sense. He compared this growth to Amazon expanding from being an online bookseller to offering computing resources via Amazon Web Services. I see it almost the opposite way. Informatica has always been in the data integration business. It has excelled at making this area of IT more...

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        Topics: Sales Performance, Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Data Integration, Informatica, Information Management, Workforce Performance

        SAP has reached a critical milestone in launching version 4 of its business intelligence (BI) and enterprise information management (EIM) product suite from its SAP BusinessObjects portfolio. These offerings, currently in final beta testing, will be released as a collection of software products by midyear.

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        Topics: Sales Performance, SAP, Social Media, IT Performance, Operational Performance, Analytics, Business Intelligence, Business Performance, Business Technology, CIO, Collaboration, Enterprise Software, Financial Performance, Information Management, Information Technology, Mobility, Operational Intelligence, Workforce Performance

        The technology analyst industry has ended its barrage of exuberant predictions for the new year. After digesting all of these commentaries (some were a challenge, I admit), we need to stop our predicting and instead start a discussion about what all of us ought to be doing. From my perspective, that should be an annual statement of direction, what we here call the research agenda. I have decided it is time to remind all of us what this important activity is and why it is really important to see...

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        Topics: Sales Performance, Supply Chain Performance, Market Research, IT Performance, IT Research, Operational Performance, Analytics, Business Intelligence, Business Performance, Business Technology, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Information Technology, Location Intelligence, Operational Intelligence, Workforce Performance, Industry Analyst

        The new year has brought a revolution in business technologies that allows enterprises to roll out new applications, processes and services in record time. What used to take a business six months to a year to develop and deploy – and not too long ago that was considered fast! – can now be done in a week or two, making enterprise application and business intelligence deployments of the recent past seem more like ancient history.

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Market Research, IT Performance, IT Research, Operational Performance, Analytics, Business Intelligence, Business Technology, Customer & Contact Center, Information Applications, Information Management, Information Technology, Location Intelligence, Operational Intelligence, Industry Analyst

        At this year’s Informatica industry analyst conference (Twitter: #INFAAnalyst) to update the research and industry analyst community on its data integration and information infrastructure products. Looking back on my analysis of the company’s 2010 analyst summit, I see Informatica has made significant progress in gaining adoption of its products and influencing the new business technology landscape. Strong performance across the financial, product and customer dimensions helped it generate more...

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        Topics: Sales Performance, Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Data Integration, Information Management, Workforce Performance

        Last week I attended MicroStrategy World 2011 in Las Vegas, the North American version of the business intelligence (BI) vendor’s annual user conference. The event was well attended, and the company claimed attendance was up 40% over last year. The purpose of the post is to recap the announcements made, highlight the areas where MicroStrategy is making investments and comment on the overall direction implied by these investments.

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        Topics: Data Warehousing, MicroStrategy, IT Performance, Analytics, Business Intelligence, Cloud Computing, Data Management, Information Management

        Open source business intelligence (BI) software vendor Jaspersoft recently announced general availability of its flagship product Jaspersoft 4 and earlier this week announced a new reporting project that provides data connectors to a variety of large-scale data sources.

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        Topics: Data Warehousing, IT Performance, Analytics, Business Intelligence, Cloud Computing, Data Management, Information Management

        Social media, the newest channel of communication across the Internet, is increasingly being used to influence, but also to deliver advice and research. I wrote about this revolution last year (See: “The Social Media Revolution in Industry Analyst Community”), reporting on the transformation that is underway and the work of our firm along with Altimeter Group and dozens of other active industry analysts. While some industry analysts are aggressively engaged in social media, using Twitter and...

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Market Research, IT Performance, IT Research, Operational Performance, Analytics, Business Intelligence, Business Performance, Business Technology, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Information Technology, Location Intelligence, Operational Intelligence, Workforce Performance, Industry Analyst

        Cloud computing is having an increasingly large influence over the IT landscape. It’s likely that, whether you realize it or not, corporate data exists has and or is migrating outside the walls of your organization. Recent research by Ventana Research shows that in areas such as customer services, sales, workforce or human capital management, software as a service (SaaS) or cloud-based applications increasingly are being accepted and adopted. In our benchmark research on business intelligence...

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        Topics: Sales Performance, Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Data Integration, Information Management, Workforce Performance

        At the 2010 Dreamforce conference (Twitter #df10) in San Francisco, about 18,000 people gathered to learn about the latest in salesforce.com’s applications and technology. Attendees from sales organizations might have been looking for some depth on the next generation of applications to support their sales processes or what the vendor will do to help sales managers manage, sales reps sell products and sales operations support it all. Certainly it’s reasonable for a sales force automation (SFA)...

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        Topics: Sales, Sales Performance, Salesforce.com, Operational Performance, Analytics, Cloud Computing, Customer Service

        Last week I attended salesforce.com’s Dreamforce user conference in San Francisco (Twitter #DF10). As a user of salesforce applications for the last four years in my previous positions, I was familiar with its analytic capabilities, or lack thereof. Certainly you can accomplish simple reporting and produce dashboards displaying salesforce data, which is adequate for narrowly focused reporting and analysis. However, as a user I was underwhelmed. For example, there are no built-in capabilities...

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        Topics: Sales, Salesforce.com, Analytics, Cloud Computing, Customer Service, Uncategorized

        At the SAP Global Influencer Summit (Twitter #SAPSummit) that I just assessed the company addressed, among many other things, its SAP CRM vision and recent advances. SAP has shifted its focus from standard customer relationship management (CRM) to the customer lines of business where professionals increasingly see that the enterprise customer experience should span channels and processes in marketing, sales and customer service. SAP now is focusing on specializing its applications for a...

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        Topics: SAP, Customer Experience, Operational Performance, Analytics, Business Performance, CIO, Customer & Contact Center, Enterprise Software, CRM

        Vishal Sikka raised an important point about the software business during his remarks at the SAP Global Influencer Summit that my colleague just assessed (See: “SAP Elevates Technology Strategy for Enterprise Software and Solutions“). He contrasted the business strategy of consolidation that other companies are pursuing with his view of SAP’s strategy of innovation. In one sense, this assertion is an attempt to disparage Oracle’s and to some extent IBM’s approach to constructing an IT business...

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        Topics: SAP, Analytics, CIO, Cloud Computing, Collaboration, Enterprise Software, Mobility, Uncategorized

        At this year’s Influencer Summit (Twitter: #SAPSummit) SAP’s executive leadership team summarized the company’s progress in 2010 and described its plans for the coming year in a range of technologies. The event led off with co-CEO Jim Hagemann Snabe discussing by video from Germany the business and technology areas in which SAP expects growth in 2011. Jim focused SAP’s efforts in on-premises and on-demand delivery, mobility and in-memory computing, which are important to a new generation of...

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        Topics: SAP, Analytics, Business Intelligence, CIO, Collaboration, Enterprise Software, Mobility

        No one has seemed to notice that in the last several months, Hewlett-Packard has quietly made changes to its participation in the enterprise software market; this will significantly change HP’s value for CIOs and IT organizations in regards to business intelligence (BI) technologies.

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        Topics: Data Warehousing, IT Performance, IT Research, Operational Performance, Analytics, Business Intelligence, Business Performance, Enterprise Software, Governance, Risk & Compliance (GRC), HP, Information Applications, Information Management, HP Neoview

        Tableau Software officially released Version 6 of its product this week. Tableau approaches business intelligence from the end user’s perspective, focusing primarily on delivering tools that allow people to easily interact with data and visualize it.  With this release, Tableau has advanced its in-memory processing capabilities significantly. Fundamentally Tableau 6 shifts from the intelligent caching scheme used in prior versions to a columnar, in-memory data architecture in order to increase...

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        Topics: Data Visualization, Enterprise Data Strategy, Tableau, Analytics, Business Analytics, Business Intelligence, CIO, In-Memory Computing

        Interest in and development of in-memory technologies have increased over the last few years, driven in part by widespread availability of affordable 64-bit hardware and operating systems and the performance advantages in-memory operations provide over disk-based operations. Some software vendors, such as SAP with its High-Performance Analytic Appliance (HANA) project has been advancing with momentum, have even suggested that we can put our entire analytic systems in memory.

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        Topics: Database, Enterprise Data Strategy, IT Performance, Analytics, Business Analytics, Business Intelligence, CIO, Complex Event Processing, In-Memory Computing, Information Management, Information Technology

        Actuate held its annual customer day in San Francisco amid the happy chaos of the World Series champion Giants’ ticker-tape celebration, and on that day the company’s ticker symbol changed from ACTU to BIRT (a shift, incidentally, botched by NASDAQ). There was a great deal of focus on its ActuateOne platform (which my colleague reviewed here) and the advancements in using open source software like BIRT with now over ten million downloads, but the aspect I want to highlight is the BIRT...

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        Topics: Microsoft, Open Source Software, Analytics, Business Analytics, Business Intelligence, CIO, Information Management, Microsoft Excel, Spreadsheets

        Merced Systems provides software to support performance management in both sales and service. Its products extract data from various systems to produce business-related reports, dashboards, scorecards and analysis that help companies improve performance in these two key functions. To further its efforts, Merced recently invited around 100 partners, customers and prospects to its 360 Degree Performance Management Forum in London. As well as the usual presentations and demonstrations to convey...

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        Topics: Customer Experience, Merced Systems, Operational Performance, Analytics

        SuccessFactors is known for applications in performance and talent management but has been working to expand its portfolio more broadly into business. This year the company expanded its focus to workforce analytics with the acquisition of Inform, which I assessed. I have assessed that Inform needed to improve the usability of its tools to compete better which is now more easily possible with a new acquisition.

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        Topics: Human Capital Management, SuccessFactors, Analytics, Business Intelligence, Business Performance, Financial Performance, Workforce Performance, Talent Management

        My colleague recently wrote about QlikView, noting its rapid ascent to providing a very robust support of mobile technology platforms among BI vendors and integration with SAP. On the occasion of its release of a major product revision, QlikView 10, I’d like to add my perspective on the company and its most recent release. I first learned of QlikView about five years ago while working on the TM1 product line which, like QlikView, is also a 64-bit, in-memory analytic technology supporting...

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        Topics: QlikView, Analytics, Business Intelligence, Information Management, Mobility

        Most people would describe Teradata as a data warehouse and analytics vendor as my colleague has reviewed its core technology. In addition to that, through its own development and by partnering, the company has branched out into the applications market. One such application is Teradata Relationship Manager (TRM) main purpose is to personalize customer interactions, regardless of channel or type of interaction, although its target area is predominantly marketing.

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        Topics: Marketing, Operational Performance, Analytics, CRM

        My research over seven years persistently shows that the two main business objectives in a contact center are to reduce average call-handling time (AHT) and improve customer satisfaction. It doesn't seem unreasonable to ask why after all this time most companies haven't come up with solutions to these challenges. To find the answer, I think you have to look at the causes. I believe the big two are that "not all agents are equal" - some are more successful at handling calls than others - and...

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        Topics: Operational Performance, Analytics, Contact Center

        IBM has announced its intention to acquire Netezza, one of the world’s fastest-growing providers of data appliances, for approximately $1.7 billion. Founded only 10 years ago, Netezza has over 500 employees and 350 clients including brand names Burlington Coat Factory, Con-way Freight, Estee Lauder, Marriott and Nationwide Insurance. IBM has been investing in analytics software for five years and now becomes one of the strategic providers in the market. Many organizations are unwilling to spend...

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        Topics: Data Warehousing, Analytics, Business Intelligence, Information Management, Netezza

        Actuate has announced a major new version of its software called ActuateOne. Its technology is integrated in a single platform and set of tools for performance management, analytics, business intelligence (BI) and information applications; the product can be managed on-premises or in the cloud and is accessible via mobile devices such as the Apple iPhone and iPad. Actuate has been in the BI market since the 1990s; this release counts as version 11, which by itself represents a significant...

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        Topics: Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Information Management

        My research continues to show that the most important key performance indicator (KPI) for call centers is average call-handling time (AHT). Furthermore, second in importance only to improving customer satisfaction is the challenge of reducing operating costs, which invariably involves trying to reduce AHT, which contact centers need to do without negatively impacting customer satisfaction. An indicator of the complexity of this issue is its persistence as one of the longest-running and most...

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        Topics: Operational Performance, Analytics, Call Center, Contact Center, CRM

        My research into Customer Experience Management shows that four of the top five factors that influence a customer’s experience in dealing with a contact center relate to agents: their attitudes, understanding of the customer’s issue, ability to resolve issues the first time and general knowledge (third on the list was average queue times). The research also shows that the largest volumes of actionable interactions are still phone calls to a contact center; social media interactions perhaps...

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        Topics: Customer Experience, Operational Performance, Analytics

        My benchmark research into agent performance management (APM) found that the number-one objective of companies trying to improve the handling of customer interactions was to utilize agents more effectively; this also was their top objective in creating agents’ work schedules. In the latter case, the research uncovered a primary reason for difficulties in achieving this objective: Only 36 percent of companies use a dedicated tool to create these schedules; the majority do it manually or with...

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        Topics: Knowlagent, Operational Performance, Analytics, Call Center

        Last year I carried out research to discover how companies manage their workforces in handling customer interactions; I investigated their best practices, technologies being used and priorities for the future. The findings led me to define agent performance management (APM) as an extension of what other observers call workforce optimization; APM includes call routing, call recording, quality monitoring, workforce management, training and coaching, agent compensation management and agent-focused...

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        Topics: Call Copy, Operational Performance, Analytics, Call Center

        I often read and hear today that social media is the new channel for marketing and customer service channel and also that companies must improve customer satisfaction to survive (I agree with the second proposition). Several observers have put the two ideas together and concluded that in the future all marketing and customer service will happen through social media – that I don’t agree with. My research shows that most customer interactions occur through a contact center or on a customer...

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        Topics: Social Media, Operational Performance, Analytics, Business Intelligence, CRM

        Many organizations want to improve the performance of their sales and customer service operations but have difficulty increasing efficiency and producing better results. One barrier to improvement is sticking with the status quo of managing sales operations and performance through spreadsheets, as 47 percent of organizations still do, according to Ventana Research’s benchmark research on sales performance management. Also many organizations continue to expect good results from using sales force...

        Read More

        Topics: Sales Performance, Merced Systems, Operational Performance, Analytics, Sales Performance Management

        At the Information Builders 2010 conference I spent some time to learn about the latest in its business intelligence (BI) technology and also performance management, which my colleague has analyzed recently (See: “IBI’s Eye Popping New Performance Management Software”). But I focused more on information management, which is becoming a strategic component of the company’s portfolio. Its iWay Software includes a suite of integration adapters used to interoperate across processes and data types...

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        Topics: IT Performance, Analytics, Business Intelligence, Data Integration, Information Builders, Information Management

        SuccessFactors is known for applications in performance and talent management but has been working to expand its portfolio more broadly into business. This year the company expanded its focus to workforce analytics with the acquisition of Inform, which I assessed. I have assessed that Inform needed to improve the usability of its tools to compete better which is now more easily possible with a new acquisition.

        Read More

        Topics: Human Capital Management, SuccessFactors, Analytics, Business Intelligence, Business Performance, Financial Performance, Workforce Performance, Talent Management

        IBM has announced its intention to acquire Netezza, one of the world’s fastest-growing providers of data appliances, for approximately $1.7 billion. Founded only 10 years ago, Netezza has over 500 employees and 350 clients including brand names Burlington Coat Factory, Con-way Freight, Estee Lauder, Marriott and Nationwide Insurance. IBM has been investing in analytics software for five years and now becomes one of the strategic providers in the market. Many organizations are unwilling to spend...

        Read More

        Topics: Data Warehousing, Analytics, Business Intelligence, Information Management, Netezza

        Actuate has announced a major new version of its software called ActuateOne. Its technology is integrated in a single platform and set of tools for performance management, analytics, business intelligence (BI) and information applications; the product can be managed on-premises or in the cloud and is accessible via mobile devices such as the Apple iPhone and iPad. Actuate has been in the BI market since the 1990s; this release counts as version 11, which by itself represents a significant...

        Read More

        Topics: Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Information Management

        Many organizations want to improve the performance of their sales and customer service operations but have difficulty increasing efficiency and producing better results. One barrier to improvement is sticking with the status quo of managing sales operations and performance through spreadsheets, as 47 percent of organizations still do, according to Ventana Research’s benchmark research on sales performance management. Also many organizations continue to expect good results from using sales force...

        Read More

        Topics: Sales Performance, Merced Systems, Operational Performance, Analytics, Financial Performance, Sales Performance Management

        At the Information Builders 2010 conference I spent some time to learn about the latest in its business intelligence (BI) technology and also performance management, which my colleague has analyzed recently (See: “IBI’s Eye Popping New Performance Management Software”). But I focused more on information management, which is becoming a strategic component of the company’s portfolio. Its iWay Software includes a suite of integration adapters used to interoperate across processes and data types...

        Read More

        Topics: IT Performance, Analytics, Business Intelligence, Data Integration, Information Builders, Information Management
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