Dr. John Steele, Senior Manager of Human Analytics for Best Buy, will show an example of a multifaceted predictive model, and how it was communicated as one actionable number. The presentation will cover inception, mechanics and insights through delivery. Models were created to proactively identify future HR problems for retail locations across the U. S. The predictive model leveraged prior metric history, operations metrics, employee engagement, local economic, demographic, and crime statistics to predict future employee relations cases and turnover. The model was cross-validated and examined over several years. Modeling produced intuitive, counter-intuitive, actionable, and inadvisable insights.
In another example, the audience can see an application of ‘dark data’, via extracting information from Word Documents in order to better understand HR Data and talent management practices. Discussion will include applications for unstructured data and insight comparisons among various tools including: R, SPSS Text Analytics, Clarabridge, and homegrown.