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Innovation and Best Practice
for Business Success

Established 1967

Predictive HR Analytics

Predictive HR Analytics

Mastering the HR Metric

Martin Edwards, Kirsten Edwards


Confidently use predictive analysis with HR metrics to model employee attitudes, assess attrition risk and more with this book for HR professionals and consultants.

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About the book

Where other functions of an organization deal in profits, sales growth, forecasts and strategic planning, the HR function is responsible for employee well-being, engagement and motivation. Such concerns do not immediately conjure up images of analytical know-how, despite the fact that in reality the management of such things often requires a lot of measurement and technical skill. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with HR analytics at an advanced level, taking HR professionals through examples of particular predictive models so they can develop effective HR strategies based on evidence.

Predictive HR Analytics will show step-by-step, using simple terms, how to carry out analysis (using the statistical package SPSS) and interpret the results, helping to communicate the potential of HR analytics and get the most out of the HR function, whether carrying out the analysis or briefing external consultants. The book will help deliver a credible and reliable service to businesses by providing metrics on which executives will be able to make sound business decisions. Online supporting resources include data sets for using alongside the book.

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


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, Industry Analyst, Principal and Founder, Bersin by Deloitte

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.
David Guest, Professor of Organizational Psychology and Human Resource Management, King’s College, London

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, Business Psychologist, Senior Partner and co-founder of Pearn Kandola


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Book Details

  • EAN: 9780749473914
  • Edition: 1
  • Published: 3rd March 2016
  • Paperback
  • Dimensions: 234x156
  • 472 pages

About the Author

Martin R. Edwards is reader in HRM and Organisational Psychology at King's College London. He has worked for a number of years as an HR consultant. Martin has run many HR analytic workshops with FTSE companies, conducted and advised on employee engagement surveys and taught statistics to undergraduate and postgraduate students.

Kirsten A. Edwards, MCIPD, works with Pearn Kandola LLP as a diversity specialist. Prior to this, she spent six years with Coutts where she held various roles including associate director for culture, engagement and diversity. She has over sixteen years' experience across four continents in the financial, technology, professional services and public sectors. She is a guest lecturer at Kings College London.

Martin Edwards

Kirsten Edwards

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