People analytics is a specific focus in Human Capital Management (HCM) that enables organizations to have data-driven insights that optimize the impact and value of the workforce. These analytics are essential for addressing a broad scope of HCM objectives, but while reducing compliance risks and highlighting demographic trends have dominated the people analytics landscape for decades, various technology-related advances have paved the way for these data insights to become more actionable, capable of addressing strategic issues such as improving organizational agility and employee productivity.
People Analytics: A New Generation of Workforce Insights
Posted by
Steve Goldberg on Dec 28, 2020 3:00:00 AM
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Topics: Predictive Analytics, Workforce Analytics, HR Analytics
Self-Describing Data Powers B2B Blockchain Distributed Ledgers
Posted by
Robert Kugel on Feb 15, 2018 7:22:37 AM
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 adoption.
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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
Predictive Finance Organizations Are More Valuable
Posted by
Robert Kugel on Feb 12, 2018 4:31:44 AM
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 accounting, data preparation and reporting. (I recently summarized these in a “Robotic Finance”)
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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
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 currency is used across multiple jurisdictions, which also can pose regulatory issues.
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Topics: Predictive Analytics, Office of Finance, credit, debt, Analytics, CFO, cash management, controller, Financial Performance Management
I recently spent time at Strata+Hadoop World 2016 in New York. I attended this event and its predecessor, Hadoop World, off and on for the past six years. This one in New York had a different feel from previous events including the most recent event in San Jose at the end of March. Perhaps because of its location in one of the financial and commercial hubs of the world, the event had much more of a business orientation. But it’s not just location. Past events have been held in New York also, and I see the business focus as a sign of the Hadoop market maturing.
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Topics: Big Data, Predictive Analytics, Strata+Hadoop
