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        Analyst Perspectives

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        • for Topic: Data Integration
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        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 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 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

        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

        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

        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

        As businesses become more data-driven, they are increasingly dependent on the quality of their data and the reliability of their data pipelines. Making decisions based on data does not guarantee success, especially if the business cannot ensure that the data is accurate and trustworthy. While there is potential value in capturing all data — good or bad — making decisions based on low-quality data may do more harm than good.

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

        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

        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 Data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.

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        Topics: Data Governance, Data Integration, Data, data lakes, data operations, Streaming Data Events

        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

        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

        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

        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

        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

        For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions. The result was battle-tested integrations that could withstand the test of time.

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        Topics: Data Governance, Data Integration, Data Preparation, Information Management, data operations

        Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. The strong attendance was a reflection of the strong growth Alteryx has experienced over the last year; roughly 50% growth year-over-year. This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center.

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        Topics: Big Data, Data Science, alteryx, Machine Learning, Data Integration, Data Management, Alteryx Inspire

        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

        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

        Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Pushing the envelope in data capabilities and access, Tableau introduced the "Ask Data" feature, allowing users to prose natural language queries and receive a response, along with new data preparation capabilities and other enhancements to help data analysts. Further, Tableau announced new developer enhancements including a new developer program to better align...

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        Topics: Big Data, Data Governance, Data Integration, Data Preparation, Tableau Software, data lakes

        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

        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

        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

        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

        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

        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

        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

        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

        This has been a dramatic year for Informatica, a major provider of data integration software. In August it was acquired and taken private by Permira funds and Canada Pension Plan Investment Board for about US$5.3 billion. This change was accompanied by shifts in its management. CEO Sohaib Abbasi became chairman and now has left, and many executives were replaced while Anil Chakravathy became CEO from being the Chief Product Officer. The new owners appear to have shifted the company’s strategic...

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        Topics: Big Data, Data Quality, Master Data Management, MDM, Operational Performance Management (OPM), Cloud Computing, Data Integration, Data Management, Data Preparation, Governance, Risk & Compliance (GRC), Informatica, Information Management, Business Performance Management (BPM), Information Optimization, Risk & Compliance (GRC)

        Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores, as I recently pointed out. Our big data integration benchmark research makes it clear that organizations are aware of the need to integrate big data, but most have yet to address it: In this area our Performance Index analysis, which assesses competency and maturity of organizations, concludes that only 13 percent reach the highest of four levels, Innovative....

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        Topics: Big Data, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Integration, Information Applications, Information Management, Strata+Hadoop

        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

        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

        At the Informatica World 2014 conference, the company known for its data integration software unveiled the Intelligent Data Platform. In the last three years Informatica has expanded beyond data integration and now has a broad software portfolio that facilitates information management within the enterprise and through cloud computing. The Intelligent Data Platform forms a framework for its portfolio. This expression of broad potential is important for Informatica, which has been slow to...

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        Topics: Big Data, Master Data Management, Sales Performance, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Integration, Data Management, Financial Performance, Informatica, Information Applications, Information Management, Workforce Performance, Information Optimization, Product Information Management, application

        One of the potential benefits of cloud computing to access business applications and data is its potential to improve the situational awareness of executives and managers. By this I mean their understanding of what’s going on outside their company in addition to what’s happening within it. Today people have access to a trove of information about their own company, which is the result of decades of investment in an expanding range of enterprise transaction systems (ERP, CRM and supply chain...

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        Topics: Sales Performance, Supply Chain Performance, Operational Performance, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Data Management, Financial Performance, Information Management, Workforce Performance, Data, finance, FPM

        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

        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

        Businesses continue to try to increase productivity and simplify tasks in order to use their time smarter. Our recent business technology innovation research found that, when it comes to analytics, 44 percent of organizations spend the most time on data-related tasks. With lack of resources being the largest issue impeding the adoption of technology, IT must operate efficiently while getting business the data it needs on a timely basis. Scribe Solutions has a business-centric data integration...

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        Topics: Microsoft, Sales Performance, Marketo, On24, SilverPop, IT Performance, Operational Performance, Business Intelligence, Business Performance, Customer & Contact Center, Data Integration, Information Applications, Information Management, FinancialForce, Information Optimization, Intuit Quicken, Scribe Software, Xactly

        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

        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

        I recently attended the annual Informatica analyst summit to get the latest on that company’s strategy and plans. The data integration provider offers a portfolio of information management software that supports today’s big data and information optimization needs. Informatica is busy making changes in its presentation to the market and its marketing and sales efforts. New executives, including new CMO Marge Breya, are working to communicate what is possible with Informatica’s product portfolio,...

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        Topics: Big Data, Data Quality, Master Data Management, Salesforce.com, MDM, IT Performance, Business Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data Management, Governance, Risk & Compliance (GRC), Informatica, Information Applications, Information Management, Operational Intelligence, CEP, Informatica Cloud, Strata+Hadoop

        SnapLogic, a provider of data integration in the cloud, this week announced Big Data-as-a-Service to address businesses’ needs to integrate and process data across Hadoop big data environments. As our research agenda for 2013 outlines, dealing with data in the cloud is very important to organizations. At the same time, businesses need to be able to integrate their big data with all their technology assets, as I pointed out recently.

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        Topics: Big Data, R, Sales Performance, Salesforce.com, SnapLogic, Operational Performance, Business Analytics, Cloud Computing, Cloudera, Customer & Contact Center, Data Integration, Information Applications, Information Management

        Big data involves interplay between different data management approaches and business intelligence and operational systems, which makes it imperative that all sources of business data be integrated efficiently and that organizations be able to easily adapt to new data types and sources. Our recent big data benchmark research confirmed that big data storage technologies continue to follow many approaches, including appliances, Hadoop, and in-memory and specialized DBMSes. With the variety,...

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        Topics: Big Data, Data Quality, Master Data Management, Business Technology Innovation, IT Performance, IT Research, Business Analytics, Business Intelligence, Data Integration, Information Applications, Information Management, Operational Intelligence

        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

        Managing the access, storage and use of data effectively can provide businesses a competitive advantage. Last year I outlined what the big deal is in big data, as the initial focus on the volume, velocity and variety of data – what my colleague Tony Cosentino calls the three V’s – is only one small piece of how organizations should evaluate this technology. The more balanced approach is to include what he calls the three W’s – the what, so what and now what, which shifts the focus to an...

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        Topics: Big Data, Master Data Management, Predictive Analytics, Sales Performance, MDM, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Governance, Data Integration, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Product Information Management

        The technology ecosystems are expanding rapidly and the use of big data and cloud computing challenge organizations to process information efficiently and deliver consistent high-quality data. To address these issues, Informatica has introduced two new offerings.

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        Topics: Big Data, Social Media, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Data Integration, Informatica, Information Applications, Information Management, Strata+Hadoop

        Salesforce is a global software-as-a-service (SaaS) company to be reckoned with. The swarming crowds at its Dreamforce event last week were estimated to exceed 90,000. The company is rapidly growing an ecosystem that includes Sales, Service and Marketing Clouds; Force.com for building applications; and Data.com for storing data in the cloud centrally for use across Salesforce products. It is also focusing on social computing, as I outlined at the beginning of the event. Hundreds of Salesforce...

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        Topics: Master Data Management, Sales Performance, Salesforce.com, Social Media, SnapLogic, Zyme Solutions, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Governance, Data Integration, Governance, Risk & Compliance (GRC), Informatica, Information Builders, Information Management, Data, data integrity, database.com, Kapow

        Ventana Research has just released the 2012 Value Index for Data Integration, 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 information management found that data integration is a critical component of information management strategies, according to 55 percent of organizations. Our benchmark research on organizations using this software not only uncovers best...

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        Topics: Big Data, Master Data Management, Microsoft, Pentaho, Sales Performance, SAP, SAS, Social Media, Supply Chain Performance, Talend, SnapLogic, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Informatica, Information Applications, Information Builders, Information Management, Location Intelligence, Oracle, Workforce Performance, Syncsort

        In our definition, information management encompasses the acquisition, organization, dissemination and use of information by organizations to create and enhance business value. Effective information management ensures optimal access, relevance, timeliness, quality and security of this data with the aim to improve organizational performance. This goal is not easily met, especially as organizations acquire ever more data at an ever faster pace. In our business analytics benchmark research of more...

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        Topics: Data Quality, Master Data Management, Social Media, IT Performance, Business Analytics, Business Intelligence, Cloud Computing, Complex Event Processing, Data Governance, Data Integration, Information Applications, Information Life Cycle Management, Information Management, Operational Intelligence

        My colleague Mark Smith and I recently attended data integration vendor Informatica’s annual industry analyst event. The company offered some impressive numbers regarding growth and profitability over the years, with 30 consecutive quarters of growth even during the recent recession. Through acquisition and its own research and development activities Informatica now has a broad portfolio of products. It includes data integration and supporting migration, replication and synchronization needs,...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Informatica, Information Management, Workforce Performance

        Even in this recessionary economy Informatica has been defying spending constraints. At its annual analyst summit (Twitter #INFAAnalyst) the company unveiled its growth strategies. Informatica has more than 4,500 customers for data integration and information management and now is turning its attention to the data in social media networks. Our firm has already identified social media as a key technology that businesses must embrace over the next decade to improve competitiveness or just keep...

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        Topics: Big Data, Sales Performance, Social Media, Customer Analytics, Market Research, Social Media Intelligence, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Business Technology, Cloud Computing, Customer & Contact Center, Data Integration, Mobility, CMO

        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

        Talend recently announced version 5 of its information management platform, which emphasizes unifying its various components. Through a combination of development activities, acquisitions and partnerships, Talend has been steadily building its portfolio of information management capabilities. In addition to its core data integration capabilities, it has added data quality, master data management, application integration and with this release business process management (BPM).

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        Topics: Big Data, Data Quality, Master Data Management, Talend, Business Analytics, Cloud Computing, Data Governance, Data Integration, Information Applications, Information Management, Strata+Hadoop

        Kalido recently introduced version 9 of its Information Engine product. The company has been around for 10 years but has had difficulty establishing its identity in the information management market. Kalido was perhaps ahead of its time, partly a vendor of data integration, partly master data management and partly data governance. As an example of the positioning challenge, its core product, Information Engine, while not a data integration tool, could in some cases provide sufficient...

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        Topics: Data Quality, Data Warehousing, Master Data Management, Data Governance, Data Integration, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Kalido

        Informatica recently introduced HParser, an expansion of its capabilities for working with Hadoop data sources. Beginning with Version 9.1, introduced earlier this year, Informatica’s flagship product has been able to access data stored in HDFS as either a source or a target for information management processes. However, it could not manipulate or transform the data within the Hadoop environment. With this announcement, Informatica starts to bring its data transformation capabilities to Hadoop.

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        Topics: Big Data, MapReduce, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Performance, Customer & Contact Center, Data Integration, Financial Performance, Information Management, Workforce Performance, Strata+Hadoop

        Informatica has announced version 9.1 for Big Data.  I wrote previously about Informatica 9.1,the latest iteration of the company’s data integration platform, following its industry analyst summit. At that event in February, the company officials alluded to future plans regarding Hadoop and other big-data sources yet to be finalized. This announcement reveals those plans. Informatica will support three types of “big data”: big transaction data from relational databases and data warehouse system,...

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        Topics: Big Data, MapReduce, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Customer & Contact Center, Data Integration, Informatica, Strata+Hadoop

        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

        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

        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

        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

        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

        Near the top of one of the best columns I’ve read on l’affaire Wikileaks is this assertion: “Clearly, there is no longer such a thing as a safe electronic archive, whatever computing's snake-oil salesmen claim. No organisation can treat digitised communication as confidential. An electronic secret is a contradiction in terms.”

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        Topics: Data Integration, Information Management, Uncategorized

        Talend, a vendor of open source data integration tools, recently announced its acquisition of Sopera, an open source application integration company whose products are based on a service-oriented architecture (SOA). It simultaneously announced an additional $34 million of funding. As I pondered what the announcements mean, I couldn’t help but think of the bigger picture. Is this entrepreneurial action typical of an open source vendor?

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        Topics: SOA, Talend, Business Intelligence, CIO, Data Integration

        If you’ve walked past a playing TV recently, there’s a good chance you’ve noticed that Microsoft thinks it can profit from “The Cloud.” The folks in Redmond would have you store your pictures there so the family can access them, use it to collaborate over the weekend in a small business – you name it, Cloud Power can do it.

        The cloud is much discussed in the business arena these days as well, but that conversation is being driven, I suspect, by an interest not in power but in cost. Enterprise...

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        Topics: ERP, Cloud Computing, Data Integration, Uncategorized, CRM

        A colleague recently asked of an online professional group of which we’re members, “Is your personal computer faster than the one the boss gave you?” While answers are still trickling in, it looks pretty clear that the answer is, “Yes, of course.”

        Now, we do tend a bit toward the geeky, so there’s a bit of built-in bias. But it also stands to reason that business- and corporate-issued technology tools will lag in performance a bit behind what we choose to have in our dens or studies or family...

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        Topics: Data Integration, Information Management, IT Analytics

        Someone slashed the top on my convertible a few days ago in a futile effort to find something of value. He or she got nothing; the perpetrator also managed to cost me at least the $500 deductible and, far worse, throw me into the maw of the monster that is the auto insurance bureaucracy.

        What will come out the other end still remains to be seen; I’ll keep you posted. But what this unexpected event brought home to me – OK, call me a bit strange – is the importance of the information management...

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        Topics: Data Integration, Information Management

        In the weeks leading up to and as part of its Information On Demand Conference that my colleague assessed, IBM introduced version 8.5 of InfoSphere Information Server and several related product updates. As my colleague suggested earlier, IBM has an ambitious agenda to provide comprehensive information management capabilities through a combination of product development and acquisitions. The breadth of this portfolio is impressive, and InfoSphere Information Server 8.5 makes significant strides...

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        Topics: Enterprise Data Strategy, IT Performance, Business Analytics, Business Intelligence, CIO, Data Integration, IBM, Information Management, Information Technology

        It is not easy for businesses to make their operations more efficient, partly because their information systems do not provide notifications of events as they are happening. Most enterprise technology uses batch processing and is designed to move data from one database to another; otherwise it requires people to go and find the data they need. To be more responsive, new technologies capture and process events that are triggered by underlying systems and manage them through complex event...

        Read More

        Topics: Sales Performance, Salesforce.com, Business Collaboration, Business Intelligence, Data Integration, Information Management

        Recently I wrote a blog outlining a relatively new offering, Informatica Cloud. I questioned how many companies understood the need for data management and whether they would turn to a cloud-based solution to meet their needs. It seems that my doubts have been addressed with the rapid adoption of it in 2010. At salesforce.com’s recent Cloudforce event in London, I learned that Informatica Cloud now has more than 1,000 customers and that it is the application most often downloaded from...

        Read More

        Topics: Business Intelligence, Cloud Computing, Data Integration, Informatica, Information Management

        Businesses continually need to improve their abilities to utilize data generated by their activities and interactions. Retrieving, cleaning and sharing data are ongoing processes, and along with data within the enterprise, applications in cloud computing are becoming critical sources. Vital data about customers and even employees among many other types is distributed across the cloud and must be integrated with the rest of data in the enterprise for applying analytics to gain visibility into...

        Read More

        Topics: Cloud Computing, Data Integration, Informatica, Information 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

        It is not easy for businesses to make their operations more efficient, partly because their information systems do not provide notifications of events as they are happening. Most enterprise technology uses batch processing and is designed to move data from one database to another; otherwise it requires people to go and find the data they need. To be more responsive, new technologies capture and process events that are triggered by underlying systems and manage them through complex event...

        Read More

        Topics: Sales Performance, Salesforce.com, Business Collaboration, Business Intelligence, Customer & Contact Center, Data Integration, Information Management

        Recently I wrote a blog outlining a relatively new offering, Informatica Cloud. I questioned how many companies understood the need for data management and whether they would turn to a cloud-based solution to meet their needs. It seems that my doubts have been addressed with the rapid adoption of it in 2010. At salesforce.com’s recent Cloudforce event in London, I learned that Informatica Cloud now has more than 1,000 customers and that it is the application most often downloaded from...

        Read More

        Topics: Business Intelligence, Cloud Computing, Data Integration, Informatica, Information Management

        Businesses continually need to improve their abilities to utilize data generated by their activities and interactions. Retrieving, cleaning and sharing data are ongoing processes, and along with data within the enterprise, applications in cloud computing are becoming critical sources. Vital data about customers and even employees among many other types is distributed across the cloud and must be integrated with the rest of data in the enterprise for applying analytics to gain visibility into...

        Read More

        Topics: Cloud Computing, Data Integration, Informatica, Information 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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