Predictive HR Analytics: Mastering the HR Metric / Edition 2

by Martin Edwards, Kirsten Edwards

Overview

This is the essential guide for HR practitioners who want to gain the statistical and analytical knowledge to fully harness the potential of HR metrics and organizational people-related data.

The ability to use and analyse data has become an invaluable skill for HR professionals to not only identify trends and patterns, but also make well-informed business decisions. The third edition of Predictive HR Analytics provides a clear, accessible framework for understanding people data, working with people analytics and advanced statistical techniques.

Readers will be taken step-by-step through worked examples, showing them how to carry out analyses and interpret HR data in areas such as employee engagement, performance and turnover. Learn how to make effective business decision with this updated edition that includes the latest materials on predicting attrition with machine learning, biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.

Product Details

ISBN-13:	9780749484446
Publisher:	Kogan Page, Ltd.
Publication date:	03/26/2019
Edition description:	2nd ed.
Pages:	536
Sales rank:	271,910
Product dimensions:	6.73(w) x 9.49(h) x 1.06(d)

About the Author

Martin R Edwards is a Professor in Management at UQ Business School, UniversityQueensland, Australia and has been teaching HR and Statistics for over 20 years.

Kirsten Edwards is the Global Head of People Data and Analytics at Rio Tinto. With over two decades of international experience in Analytics, HR and Management Consulting, she has supported various organisations across multiple sectors, empowering them to utilise people data and analytics more effectively.

Daisung Jang Daisung Jang is an Assistant Professor at Melbourne Business School. He has over a decade of experience in data visualization and analysis using R. He has conducted workshops for PhD students and academic staff on statistical analyses using R.

Table of Contents

** Chapter - 01: Understanding HR analytics; ** Chapter - 02: HR information systems and data; ** Chapter - 03: Analysis strategies; ** Chapter - 04: Case study 1 – Diversity analytics; ** Chapter - 05: Case study 2 – Employee attitude surveys – engagement and workforce perceptions; ** Chapter - 06: Case study 3 – Predicting employee turnover; ** Chapter - 07: Case study 4 – Predicting employee performance; ** Chapter - 08: Case study 5 – Recruitment and selection analytics; ** Chapter - 09: Case study 6 – Monitoring the impact of interventions; ** Chapter - 10: Business applications – Scenario modelling and business cases; ** Chapter - 11: More advanced HR analytic techniques; ** Chapter - 12: Reflection on HR analytics – Usage, ethics and limitations; ** Chapter - 13: Appendix

Editorial Reviews

"This book is a much-needed, well-researched, informative, and accessible treatment of HR/People Analytics. I highly recommend it for instructors who teach a course on this topic or HR professionals who want to learn on their own. It contains valuable guidance on how to collect and analyze human resource management and operational data to support data driven decision-making."

Dr. Janet Marler

"An essential read for HR leaders and practitioners wishing to deepen their knowledge and capability in predictive analytics. The authors balance the need to present technical concepts and theory with clear and simple solutions to apply within the workplace. This book is full of wisdom for anyone wishing to embrace analytics as a fundamental HR capability."

Caroline van der Feltz

"Anyone reading and learning from this book and applying its lessons will be a more effective HR professional. It should certainly become compulsory reading for all HRM students. The authors are to be congratulated on providing a service to the HR community by writing this much needed and timely book."

David Guest

"Predictive HR Analytics is a practical guide for anyone working or interested in the burgeoning field of people analytics. What sets it apart from other books on the topic is that the authors demonstrate how to actually perform the analyses with a variety of HR-related data as well as providing insights on the statistical models that support them. Every people analytics team should own a copy of this book."

David Green

"This book is essential reading for anyone interested in how to actually apply statistical methods to HR data. The book fills an important gap between those that are too technical, making them impenetrable to all but the most experienced statisticians, and books that focus on organizational capability aspect of HR analytics. If you're doing HR analytics you need a copy of this book."

Dr. Nigel Guenole

"Predictive HR Analytics is a comprehensive and detailed guide for any professional interested in this exciting new field. The book will help you understand what data to analyze, how to interpret and analyze the data, and how different types of models work. Highly recommended for people analytics specialists!"

Josh Bersin

"Finally, a book that students and HR professionals can use to learn how to do HR analytics! Not only do Edwards & Edwards show how to conduct analyses with clear, step by step examples, they show the critical insights that HR analytics can provide."

Fritz Drasgow

"Detailed, precise and clearly written, this book isn't just about statistics; it's about the future of HR. Essential reading for everyone in HR."

Professor Binna Kandola OBE

"At a time when the HR function is facing huge changes and undergoing massive challenges, it is good to see the second edition of this noteworthy book. Whilst many in HR are still coping with reporting on metrics, Edwards and Edwards have updated and expanded their first edition by embracing the latest developments and staying ahead of the curve. This will make a welcome contribution to the knowledge base of academics and practitioners alike."

David Simmonds

"Edwards and Edwards provide an essential roadmap to professionalize how HR analytics is applied in organizations. This book should be required reading for data scientists and HR generalists who need to learn the ropes of applying statistics and social scientific analysis to HR data."

Alec Levenson