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In recent years, organizations have struggled to find and retain the right talent to fill critical roles. This can be attributed to a combination of factors, including an aging workforce, a lack of critical skills needed for current and future organizational needs, and increased competition for talent from other organizations seeking similar skills. Our research shows that, within the next five...

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Topics: Human Capital Management, Talent Management


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...

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


As engagement with customers, suppliers and partners is increasingly conducted through digital channels, ensuring that infrastructure and applications are performing as expected is not just important but mission critical. My colleague, David Menninger, recently explained the increasing importance of observability to enable organizations to ensure that their systems and applications are operating...

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Topics: Data Management, Data, Digital Technology, Analytics and Data


Contact centers have long collected feedback from customers, usually through short surveys. It is very common for an agent or an automated system to ask for an assessment of the interaction that just occurred, hoping to get the customer's candid, instant view of whether they were satisfied. For the most part, what's learned in those short engagements is very narrow. It can be used for a customer...

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Topics: Customer Experience, Voice of the Customer, Contact Center, AI


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


I have written recently about the increasing importance of managing data in motion and at rest as the use of streaming data by enterprise organizations becomes more mainstream. While batch-based processing of application data has been a core component of enterprise IT architecture for decades, streaming data and event processing have often been niche disciplines typically reserved for...

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Topics: Data, Streaming Data Events


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...

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


To execute more data-driven business strategies, organizations need linked and comprehensive data that is available in real time. By consistently managing data across siloed systems and ensuring that data definitions are agreed and current, organizations can overcome the challenges presented by data being distributed across an increasingly disparate range of applications and data-processing...

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Topics: Data Management, Data, data operations


The chief financial officer of a midsize organization faces a different set of challenges than those in larger or smaller enterprises. These organizations have grown to the point of requiring capabilities similar to larger businesses, but typically lack the staff or financial resources afforded to bigger organizations. The past decade of IT innovation – especially the expansion of cloud computing...

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Topics: Office of Finance, Business Planning, ERP and Continuous Accounting


Data Operations (DataOps) has been part of the lexicon of the data market for almost a decade, with the term used to describe products, practices and processes designed to support agile and continuous delivery of data analytics. DataOps takes inspiration from DevOps, which describes a set of tools, practices and philosophy used to support the continuous delivery of software applications in the...

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Topics: Data Governance, Data Management, Data, data operations


We are 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: Total Compensation Management 2023 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...

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Topics: Human Capital Management, Total Compensation Management


Having just completed the 2023 Ventana Research Value Index for Total Compensation Management, We want to share some of my observations about how the market has advanced since our assessment three years ago. For more than two decades, Ventana Research has conducted market research in a spectrum of related areas including Total Compensation Management (TCM) as well as broader HCM areas ranging...

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Topics: Human Capital Management, Total Compensation Management


Early last December, just before ChatGPT became the new, bright, shiny object, The Economist magazine ran a story proclaiming that we had finally arrived at the age of boring artificial intelligence (AI). From my perspective, it’s unfortunate that didn’t last and that AI has been relegated back to the buzzword league. AI will be an increasingly important feature of business software through the...

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Topics: Office of Finance, Business Intelligence, Business Planning, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, continuous supply chain, AI and Machine Learning


Organizations looking to improve the customer experience and contact center operations should closely examine the processes at work in the front-end self-service environment. Technology advancements are converging at this gateway, including artificial intelligence, chatbots and knowledge management. The front end of the customer interaction offers a greater opportunity for customer engagement...

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Topics: Customer Experience, Self-service, Contact Center, Knowledge Management, Chatbots, agent management


As data continues to grow and evolve, organizations seek better tools and technologies to employ data faster and more efficiently. Finding and managing data remains a perennial challenge for most organizations, and is exacerbated by increasing volumes of data and an expanding array of data formats. At the same time, organizations must comply with a growing list of national and regional rules and...

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Topics: Data Governance, Data Management, Data, data operations


As a rule, I dislike terms like “digital finance transformation” because there’s a wave-the -magic-wand quality to it that obscures the not-so-simple people and process elements necessary for true transformation. Six of the most common – and expensive – words used in an accounting department are “we’ve always done it this way.” Persuading staff to change can be a struggle, even if change makes...

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Topics: Office of Finance


Modern business relies on having a clear, continuous understanding of customer perceptions and intentions. That insight is increasingly used to deliver them experiences that they would consider excellent, in turn leading to higher satisfaction and more profitable relationships. Qualtrics, a provider of Experience Management (XM) software, focuses on creating applications that analyze customer...

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


At its March 2023 analyst conference, 8x8 described a significant pivot in its focus. Going forward the company will be emphasizing the Contact Center (CCaaS) side of its portfolio, which to this point has represented a small portion of its overall sales. It made several product announcements to bolster the argument that it can effectively meet the needs of complex contact center operations while...

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Topics: Customer Experience, Contact Center


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...

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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...

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


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