
Predictive HR Analytics
Mastering the HR Metric
Kogan Page Ltd (Publisher)
3rd Edition
Published on 3. June 2024
Book
Paperback/Softback
528 pages
978-1-3986-1565-6 (ISBN)
Description
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 biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.
Reviews / Votes
"Developing a clear understanding how talent creates customer and economic value and translating this knowledge into action is a key driver of success in any organization. But most firms lack both the data that they need and the requisite analytical capabilities required to drive real change. In Predictive HR Analytics, Edwards and Edwards demonstrate how to make this happen, using evidenced based examples data from a wide variety of organizational settings. This book should be studied carefully by any serious workforce analyst. A tremendous resource." * Mark Huselid, Ph.D, Distinguished Professor of Workforce Analytics and Chair, D'Amore-McKim School of Business, Northeastern University., author of The HR Scorecard, The Workforce Scorecard, and The Differentiated Workforce. * "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, Global Industry Analyst and Founder, Bersin by Deloitte *More details
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
College/higher education
Edition type
Revised edition
Product notice
Paperback (trade)
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 28 mm
Weight
901 gr
ISBN-13
978-1-3986-1565-6 (9781398615656)
Schweitzer Classification
Other editions
Additional editions

E-Book
06/2024
3rd Edition
Kogan Page Ltd
€48.99
Available for download

Book
06/2024
3rd Edition
Kogan Page Ltd
€168.20
Shipment within 10-20 days
Previous edition

Book
03/2019
2nd Edition
Kogan Page Ltd
€69.51
Article exhausted; check for reprint
Persons
Author
Martin R Edwards is Reader in HRM and Organizational Psychology at King's Business School, King's College London. He has taught statistics to undergraduate, postgraduate and PhD students for over 15 years and also teaches HR analytics to MSc students. As a consultant, he has delivered HR analytics workshops to FTSE-100 companies.
Kirsten Edwards is HR Lead for Advanced Analytics and Data Science at Rio Tinto and has over 20 years' broad international experience in analytics, HR and management consulting. She is a visiting lecturer at Kent Business School and at King's Business School.
ISNI: 0000 0000 4022 2987
ISNI: 0000 0000 4022 2987
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.
Content
-
- 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