Termin realizacji zamówienia: ok. 18-20 dni roboczych.
Darmowa dostawa!
Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.
"Predictive HR Analytics is a comprehensive and detailed guide for any professional interested in this exciting new field. The book will help you understand what data to analyze, how to interpret and analyze the data, and how different types of models work. Highly recommended for people analytics specialists!" Josh Bersin, Global Industry Analyst and Founder, Bersin by Deloitte
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 R
Martin R Edwards is Reader in HRM and Organizational Psychology at King's Business School, King's College London. He has taught statistics to undergraduate, postgraduate and PhD students for over 15 years and also teaches HR analytics to MSc students. As a consultant, he has delivered HR analytics workshops to FTSE-100 companies.
Kirsten Edwards is HR Lead for Advanced Analytics and Data Science at Rio Tinto and has over 20 years' broad international experience in analytics, HR and management consulting. She is a visiting lecturer at Kent Business School and at King's Business School.