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- Autorius: Anindya Basu Roy, Sumati Ray
- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 250
- ISBN-10: 104126562X
- ISBN-13: 9781041265627
- Kalba: Anglų
Analytics based Human Resource Management (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
This book examines HR Analytics from the perspective of a Human Resource practitioner. The focus is primarily on how analytics can enhance processes and strengthen the HR function, and to empower readers with the tools to utilize them in practice.
The book helps develop an insightful perspective on HR Analytics and what it can deliver. The application areas covered include HR Scorecards, HR Cost Analysis with respect to benefit and impact, Workforce segmentation, analysis of appraisal data, conducting surveys and analyzing HR survey data, improving Training and Development and Hiring processes using relevant metrics and hypothesis testing, designing forecasting and predictive models for attrition and performance, designing tests for selection, root cause analysis of HR problems and putting to practice frameworks like LAMP and HCM 21.
This book would be useful to students of Human Resource Management. It would also serve as a handy resource for practicing human resource professionals - executives and managers and data science professionals working in the HR domain.
- Autorius: Anindya Basu Roy, Sumati Ray
- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 250
- ISBN-10: 104126562X
- ISBN-13: 9781041265627
- Kalba: Anglų
This book examines HR Analytics from the perspective of a Human Resource practitioner. The focus is primarily on how analytics can enhance processes and strengthen the HR function, and to empower readers with the tools to utilize them in practice.
The book helps develop an insightful perspective on HR Analytics and what it can deliver. The application areas covered include HR Scorecards, HR Cost Analysis with respect to benefit and impact, Workforce segmentation, analysis of appraisal data, conducting surveys and analyzing HR survey data, improving Training and Development and Hiring processes using relevant metrics and hypothesis testing, designing forecasting and predictive models for attrition and performance, designing tests for selection, root cause analysis of HR problems and putting to practice frameworks like LAMP and HCM 21.
This book would be useful to students of Human Resource Management. It would also serve as a handy resource for practicing human resource professionals - executives and managers and data science professionals working in the HR domain.
Atsiliepimai