Predictive HR Analytics

Martin R Edwards is a Professor in Management at UQ Business School, University Queensland, Australia and has been teaching HR and Statistics for over 20 years.Kirsten Edwards is the Global Head of People Data and Analytics at Rio Tinto. With over two decades of international experience in Analytics, HR and Management Consulting, she has supported various organisations across multiple sectors, empowering them to utilise people data and analytics more effectively.Daisung Jang is an Assistant Professor at Melbourne Business School. He has over a decade of experience in data visualization and analysis using R. He has conducted workshops for PhD students and academic staff on statistical analyses using R.

"Developing a clear understanding how talent creates customer and economic value and translating this knowledge into action is a key driver of success in any organization. But most firms lack both the data that they need and the requisite analytical capabilities required to drive real change. In Predictive HR Analytics, Edwards and Edwards demonstrate how to make this happen, using evidenced based examples data from a wide variety of organizational settings. This book should be studied carefully by any serious workforce analyst. A tremendous resource."

• Chapter - 01: Understanding HR analytics;Chapter - 02: HR information systems and data;Chapter - 03: Analysis strategies;Chapter - 04: Case study 1 – Diversity analytics;Chapter - 05: Case study 2 – Employee attitude surveys – engagement and workforce perceptions;Chapter - 06: Case study 3 – Predicting employee turnover;Chapter - 07: Case study 4 – Predicting employee performance;Chapter - 08: Case study 5 – Recruitment and selection analytics;Chapter - 09: Case study 6 – Monitoring the impact of interventions;Chapter - 10: Business applications – Scenario modelling and business cases;Chapter - 11: More advanced HR analytic techniques;Chapter - 12: Reflection on HR analytics – Usage, ethics and limitations;Chapter - 13: Appendix