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Predictive HR Analytics
Mastering the HR Metric
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About the book
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.
About the authors
Martin R Edwards is an Associate Professor in Management at UQ Business School, University Queensland, Australia.
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, based in Queensland, Australia.
Daisung Jang has over 10 years' experience of data analysis and is an expert on R. He is a lecturer in UQ Business School, University of Queensland, Australia.