Predictive HR Analytics: Mastering the HR Metric - Softcover

Edwards, Dr Martin; Edwards, Kirsten

 
9780749473914: Predictive HR Analytics: Mastering the HR Metric
Softcover
ISBN 10: 0749473916 ISBN 13: 9780749473914
Verlag: Kogan Page, 2016

Inhaltsangabe

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.

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Über die Autorinnen und Autoren

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 Global Head of People Data and Insights at Rio Tinto. She has over 20 years' broad international experience in analytics, HR and management consulting. She is based in Queensland.

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Verlag
Kogan Page
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
0749473916
ISBN 13 
9780749473914
Einband
Tapa blanda
Auflage
1
Anzahl der Seiten
472
Kontakt zum Hersteller
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Verantwortliche Person
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