{"id":3849,"date":"2017-01-31T08:06:00","date_gmt":"2017-01-31T08:06:00","guid":{"rendered":"http:\/\/localhost\/projects\/horsesforsources\/evaluate-predictive-capabilities-in-hcm-systems_013117\/"},"modified":"2017-01-31T08:06:00","modified_gmt":"2017-01-31T08:06:00","slug":"evaluate-predictive-capabilities-in-hcm-systems_013117","status":"publish","type":"post","link":"https:\/\/www.horsesforsources.com\/evaluate-predictive-capabilities-in-hcm-systems_013117\/","title":{"rendered":"Why the Time is Right to Evaluate Predictive Capabilities in HCM Systems"},"content":{"rendered":"

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Every CHRO focus group or survey these days identifies “enhancing analytics capabilities” or “crafting a people analytics roadmap” as a top initiative. This, of course includes analytics of a predictive nature, as these generally have the highest impact. It’s now time-critical for both HR execs and HCM solution providers to think about what type of technology capabilities are needed to support these initiatives, which, if successful, clearly help make the case for HR having that proverbial seat.<\/p>\n

So we’ve decided to put a stake in the ground and evaluate what most enterprise software vendors are describing as their “early” capabilities and customer experiences in this area.<\/p>\n

Many HRMS (employee life cycle) vendors cut their predictive analytics teeth around the retention risk area. Some of those providers have progressed to predicting potential to succeed in different roles or factors that impact employee engagement and productivity. A few now forecast labor and skill set gaps and use that intelligence to optimize work schedules. One or two HCM solutions now even highlight potential compliance risks and recommend training to mitigate those risks or offer other examples of prescriptive guidance.<\/p>\n

Is this the bulk of what HR leaders are looking for? Hardly, as any HR Tech vendor will tell you: “They are just getting started!”<\/p>\n

One HR tech vendor exec we spoke with for this research said, “the ultimate vision here is to predict all employee-related outcomes that materially impact business performance, understand why the outcome is likely, communicate why this insight matters, and determine and pursue the key actions needed.” As a destination point, it’s probably better than most.<\/p>\n

2 key indications the time is now for getting this research out there:<\/p>\n