Predictive Analytics for Human Resources offers human resource professionals the information and tools they need to harness the power of analytics and determine future outcomes. Written by Jack Fitz-enz (one of the founders of human resources measurement) and John Mattox, II, this important resource answers the questions: “Where do I start?” and “What tools are available?” The book explains the fundamentals of every business--the vision, the brand, and the culture--and shows how predictive analytics supports these basic elements. Fitz-enz and Mattox put the focus on the essentials of predictability and include a framework of logical questions to help set up an analytic program or project. The authors include a clear explanation of statistical applications that will help a human resource project run smoothly.
When building a project, often overlooked is the need for persuasive skills and effective change management. Predictive Analytics for Human Resources gets down to the nature of data and examines the critical issues of sources, ownership, and quality. The authors explore how to deal with where it is, who owns it, whether it is valid and reliable, and what forms it comes in. The book then digs deeper into analytics with illustrative examples of regression, correlation, and structural equation modeling.