Predictive HR Analytics

The era of predictive HR analytics has arrived.

A new era of data and evidence-based decision-making has arrived, and with it, proven techniques for predicting the outcomes of workforce-related decisions and interventions. Predictive analytics explores patterns in the data – the reasons for numbers and outcomes – and what drives them.

HR can, for example, use models to predict which new hires will perform better and stay longer, or what interventions might reduce unwanted turnover. Such data, in turn, equips leaders to make evidence-based business decisions. 

Gain analytics skills by using simple statistical techniques in user-friendly software.

Cloud-based tools such as SPSS and R let HR professionals construct models to investigate data, and find predictive patterns and trends. For example, an increase in one variable (such as recognition) might reveal changes in another (like engagement), which, in turn, drives productivity or turnover. 

Sourcing, obtaining and ensuring the quality of workforce data is the first hurdle for most HR teams. Look for data in human resource...