For many Human Capital analysts and leaders, the time devoted to workforce analytics investigation and communication often follows an 80/20 allocation, with the majority of effort applied to the investigation phase—determining the right formulas for metrics, building statistical models, and analyzing data.
In contrast, comparably little attention is often given to the communication phase, in which investigation findings, assumptions, open questions, and next steps are communicated.
While effective messaging will always require solid investigation techniques, organizations must look beyond the numbers to understand how to maximize the value of their data-driven communications.
This presentation will discuss the importance to HR professionals of utilizing workforce metrics and analytics, the need for more effective data-driven stories, and six steps to improving the quality of workforce analytics presentations.