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020 _a9781398615656
082 _a658.3
100 _aEdwards, Martin R.
245 _aPredictive HR analytics : mastering the HR metric
250 _a3rd.
260 _aLondon,
_bKogan Page:
_c2024.
300 _axv, 504p., app., ind., 24 cm x 17 cm
500 _aRecommended by: Viral Nagori
520 _aThis is the essential guide for HR practitioners who want to gain the statistical and analytical knowledge to fully harness the potential of HR metrics and organizational people-related data. The ability to use and analyse data has become an invaluable skill for HR professionals to not only identify trends and patterns, but also make well-informed business decisions. The third edition of Predictive HR Analytics provides a clear, accessible framework for understanding people data, working with people analytics and advanced statistical techniques. Readers will be taken step-by-step through worked examples, showing them how to carry out analyses and interpret HR data in areas such as employee engagement, performance and turnover. Learn how to make effective business decision with this updated edition that includes the latest materials on biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.
521 _aContents: 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
650 _xhuman resource management
_xpersonnel management
_xanalytic and statistical techniques
_x relationships and trends
_xHR-related data to aid
_xstrategic organizational decision-making
700 _aKirsten, Edwards
700 _aJang, Daisung
942 _cBK
_2ddc
999 _c23198
_d23198