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Practical Applications of HR Analytics

Practical Applications of HR Analytics
A Step-by-Step Guide

First Edition
  • Pratyush Banerjee - Faculty, OB and HRM Area, T A Pai Management Institute, Manipal, India
  • Jatin Pandey - Faculty, Organizational Behaviour and Human Resource Management Area, Indian Institute of Management Indore (IIMI)
  • Manish Gupta - Mahindra University, India
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July 2019 | 352 pages | SAGE Texts

A comprehensive introduction to the know-how of HR analytics and its role in optimizing HR decision-making and driving organizational performance.

In today’s technology-driven world, HR analytics is pivotal to measure, express and take focused HR decisions. Practical Applications of HR Analytics equips readers with the required tools and techniques to effectively identify, capture and utilize the vast amount of available data in making better informed business decisions.

The text is lucid and packed with practical illustrative examples, hands-on exercises and datasets. It is an invaluable resource for management students and HR professionals who want to translate the benefits of HR analytics into practice, thus paving the way for evidence-based human resource management.

Key Features:

• Practical understanding of a range of open-source statistical GUI software. 

• Focus on both descriptive and predictive analytics in HR. 

• Chapter opening vignettes, industry examples and real-world case studies on application of HR analytics in organizations. 

• Supplementary exercises and soft copy of datasets provided on Google Drive Link to facilitate hands-on training. 
Foreword by G. Raghuram
Organization of the Book
Evolution of Business Analytics
Rise of HR Analytics
Applications of HR Metrics
Creating HR Dashboards Using Microsoft Excel
Slicing and Dicing of HR Data: Pivot Table Applications
Applications of Tableau in HR Data Visualization
HR Analytics Applications of Correlation and Linear Regression
HR Analytics Applications of Comparison of Means and ANOVA
HR Analytics Application of Logistic Regression
HR Analytics Applications of Neural Networks
HR Analytics Applications of Classification and Regression Trees (CART) and Ensemble Techniques
HR Analytics Applications of Factor Analysis and Cluster Analysis

Pratyush Banerjee

Pratyush Banerjee is an Assistant Professor at T A Pai Management Institute (TAPMI), Manipal, Karnataka, since July 2019. Prior to joining TAPMI, he was working at the level of an Assistant Professor in the Department of Management, Birla Institute of Technology & Science (BITS) Pilani, Pilani Campus from June 2017-June 2019. Before that he was working as an Assistant Professor at the Department of Human Resource Management at ICFAI Business School (IBS) Hyderabad, ICFAI Foundation of Higher Education (IFHE) University, from June 2015 to June 2017. His areas of research include HR analytics, HR planning, ... More About Author

Jatin Pandey

Jatin Pandey is currently Assistant Professor in Organizational Behavior and Human Resource Management area, IIM Indore. He is a Fellow of IIM Ahmedabad. Prior to this, he has served at IIM Kozhikode as an Assistant Professor. He was awarded the Junior Research Fellowship (JRF) by University Grants Commission, Government of India, and has been awarded the Best Thesis by IIM Ahmedabad for his doctoral work. His research interests focus on Indian management thought, management for rural and difficult geographies, job performance and emotions at workplace. He is a life member of All India Management... More About Author

Manish Gupta

Manish Gupta is at present Assistant Professor at Department of HR, IBS Hyderabad, a Constituent of IFHE, Deemed to be University. His PhD thesis is in the area of ‘work engagement’. Dr Gupta is a recipient of JRF and National Eligibility Test (NET) certificate awarded by University Grants Commission, Government of India. He has been teaching HR analytics at IBS Hyderabad since 2017. He is an editorial team member of Australasian Journal of Information Systems, International Journal of Knowledge Management and Journal of Electronic Commerce in Organizations. He has recently edited a special issue for... More About Author

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ISBN: 9789353282967