Analytics based Human Resource Management

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Bol 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. This book examines HR Analytics from the perspective of an human resource practitioner. The focus is on how analytics can enhance processes to strengthen the HR functions, and the book aims to empower readers with tools as means to the same end. 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 benefits 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 into 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, as well as data science professionals working in the HR domain.

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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. This book examines HR Analytics from the perspective of an human resource practitioner. The focus is on how analytics can enhance processes to strengthen the HR functions, and the book aims to empower readers with tools as means to the same end. 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 benefits 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 into 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, as well as data science professionals working in the HR domain.


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Merk Routledge
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  • 9781041265610
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