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        Analyst Perspectives

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        • for Month: 2025/07
        • Available Posts: 0

        Compensation data is everywhere. Internal equity metrics, market benchmarks, performance history, pay transparency requirements—there’s no shortage of data coming in from every direction. But volume does not always guarantee clarity. It is not about the data your system can collect, it is about whether that system—and the people behind it—can turn the data into decisions that actually make sense. That is what it means for your compensation tech to speak the right language.

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        Topics: Human Capital Management, Total Compensation Management, Employees & HCM - Business & Technologies

        Frontline work is being reshaped from every direction: tighter labor pools, unpredictable demand and a workforce that expects more than just a paycheck. Yet too many organizations are still treating workforce scheduling like a game of Tetris—moving blocks around and hoping they fit. It’s time to admit that smart scheduling isn’t just a nice-to-have—it’s a frontline imperative. And if the enterprise is still thinking of it as “just logistics,” it's already falling behind.

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        Topics: Human Capital Management, Employee Engagement, Workforce Management, Employees & HCM - Business & Technologies

        One of the key questions that will need to be solved if agentic artificial intelligence is to fulfill its potential is which technologies and providers will serve the role of orchestrating communication and integration between the various models, applications and data repositories involved. ISG Research defines agentic AI as software designed to execute business processes through autonomous actions, potentially controlling multiple processes and systems through the orchestration of one or more...

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        Topics: Governance, Operations, AI, Generative AI, Data Intelligence, AI & Technologies, AI and Machine Learning

        The learning management system (LMS) market is evolving, with the lines that once rigidly defined categories becoming increasingly blurred. Today, an LMS that lacks Learning Experience Platform (LXP) capabilities risks becoming obsolete in an environment where user expectations are shifting rapidly. In a similar vein, an LMS and LXP that fail to harness the power of artificial intelligence (AI) to guide learners through their diverse learning journeys face a similar fate.

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        Topics: Human Capital Management, Employee Engagement, Learning Management, Employees & HCM - Business & Technologies

        If a single phrase could sum up the big data craze of a dozen or so years ago, it would be “more data beats better algorithms.” Attributed to Google research director Peter Norvig, the quote effectively summarized a research paper Norvig jointly authored called The Unreasonable Effectiveness of Data and was embraced by big data enthusiasts as articulating the prevalent thinking that enterprises with the largest volumes of data have an advantage over rivals. The phrase was, of course, an...

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        Topics: Operations, AI, Data Intelligence, AI & Technologies, AI and Machine Learning
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        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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