At the recent HR Technology Conference, sessions on data-driven HR were standing room only. Whether it was Mark Berry’s talk on “Quantifying HR with Advanced HR Analytics,” or the “Ask the Expert” Datafication of HR panel of Visier customers joined by Josh Bersin, or Al Adamsen’s interview of tech evangelists on the future of HR analytics, conference attendees couldn’t get enough on the topic of workforce intelligence.
However, while more and more HR leaders are spearheading the adoption of workforce intelligence at their organizations, they also have this critical question in mind: Once we have an HR analytics function and solution in place, how do we take full advantage of it?
Here are some great HR analytics articles for fall 2016 to help you on your way:
In this post, John Boudreau (professor at the Marshall School of Business, and professor and researcher at the Center for Effective Organizations at the University of Southern California) discusses why HR analytics is not just about encouraging HR to present the latest analytics innovations, but to look beyond producing traditional HR outcomes and enhance pivotal business decisions.
In this tongue-in-cheek article, Mark Berry identifies the “sins” HR leaders should watch out for to ensure their HR analytics initiative delivers on its full potential in providing a “ strategically significant, sustainable competitive advantage.”
To be more than a “custodian of workforce information,” HR needs to use the insights gained from workforce analytics to avoid talent gaps through fact-based workforce planning. This SHRM article reveals the various metrics needed to create workforce simulations, forecasts, and models.
Olly Britnell, Head of Global Workforce Analytics at Experian, shares six practical approaches for how HR can make a real impact on business outcomes with analytics, get engagement from senior executives and people leaders, and build the right foundation for success.
Morten Kamp Anderson, a renowned workforce analytics expert, discusses why you can’t just be a data wrangler — you need to be a storyteller as well if you’re to deliver insights that will make a business impact.