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Kirsten Edwards, Martin Edwards (Beteiligte)

Predictive HR Analytics


Mastering the HR Metric
2nd ed. 2019. 536 p. 24 cm
Verlag/Jahr: KOGAN PAGE 2019
ISBN: 0-7494-8444-6 (0749484446)
Neue ISBN: 978-0-7494-8444-6 (9780749484446)

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Where other functions of an organization deal in profits, sales growth and 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 technical know-how, despite the fact that in reality the management of such things may often require a lot of measurement and technical skill. Predictive HR Analytics: Mastering the HR Metric provides a clear, accessible framework with which to understand and work with HR analytics at an advanced level, taking the reader through examples of particular predictive models. When dealing with HR metrics, management information and HR analytics, HR practitioners rarely use any advanced statistical techniques to make the most of the data they have. This book will show the reader step-by-step, using simple terms, how to carry out the analysis (using the statistical package SPSS) and how to interpret the results, helping them to communicate the potential of HR analytics and get the most out of their HR function, whether they are carrying out the analysis themselves or briefing external consultants. Predictive HR Analytics: Mastering the HR Metric will help HR professionals to deliver a credible and reliable service to the businesses that they support by providing metrics on which executives will be able to make sound business decisions.
Dr 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 an HR consultant, he has delivered HR-analytic workshops to FTSE-100 companies.Kirsten Edwards is Head of Analytics at Empathix Ltd and has over 20 years´ broad, international experience in analytics, HR and management consulting. She has close academic links with Kent Business School and King´s Business School, where she is a visiting lecturer.