
People Analytics
Theory, Tools and Techniques
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Product details:
- Edition number 1
- Publisher Routledge India
- Date of Publication 28 July 2025
- ISBN 9781032623993
- Binding Paperback
- No. of pages400 pages
- Size 234x156 mm
- Language English
- Illustrations 219 Illustrations, black & white; 217 Halftones, black & white; 2 Line drawings, black & white; 43 Tables, black & white 700
Categories
Short description:
This book addresses the topic of HR analytics focusing especially on demystifying analytics for HR managers, from both statistical and computing points of view.
MoreLong description:
This book addresses the topic of HR analytics focusing especially on demystifying analytics for HR managers, from both statistical and computing points of view. It presents the evolution and the importance of people analytics in today?s workforce management and highlights the motivation for studying business analytics, shows the different levels of analytic maturity and discusses real world success stories of business analytics in action through case studies. The volume provides the readers with a step-by-step guide to analyze HR data and interpret the results for strategy formulation. Each chapter of the book includes a vignette, data-driven exercises, and real-world case studies. The authors also introduce the readers to data visualization software Microsoft Power BI as well as elaborates on how to use Tableau Desktop.
This book would be useful to the students of human resource management, organizational behaviour, applied psychology, social work and sociology. It would also serve as very good handbook for practicing business executives helping them to implement data analytics for effective decision making in all kinds of business situations around the world.
MoreTable of Contents:
Foreword 1. Evolution of Business Analytics 2. Rise of People Analytics 3. Metrics for People Analytics 4. Data Visualization: Dashboards with MS Excel 5. Application of Power BI in Data Visualization 6. Application of Tableau in Data Visualization 7. Correlation and Linear Regression Applications in People Analytics 8. Comparison of Means and Analysis of Variance (ANOVA) in People Analytics 9. Application of Logistic Regression in People Analytics 10. Applications of Neural Networks in People Analytics 11. Applications of Classification and Regression Trees (CART) and Ensemble Methods in People Analytics 12. Applications of Factor & Cluster Analysis
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People Analytics: Theory, Tools and Techniques
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