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Analytics based Human Resource Management

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Paperback / softback
204 Pages
7 October 2026
RRP: $92.99
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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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    Product Details
    ISBN-13
    9781041265627
    Author
    Anindya Basu Roy
    Publisher
    Taylor & Francis
    Published
    7 October 2026
    Format
    Paperback / softback
    Pages
    204

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    RRP: $92.99
    $92.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Analytics based Human Resource Management

    RRP: $92.99
    $92.00

    Description

    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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