Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.
Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.
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
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 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
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
Rezensionen
"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
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