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Predictive HR Analytics

Mastering the HR Metric
BuchGebunden
528 Seiten
Englisch
Kogan Pageerschienen am03.06.2024
Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR51,00
BuchGebunden
EUR170,70
E-BookEPUBDRM AdobeE-Book
EUR50,49

Produkt

KlappentextConfidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.
Details
ISBN/GTIN978-1-3986-1590-8
ProduktartBuch
EinbandartGebunden
Erscheinungsjahr2024
Erscheinungsdatum03.06.2024
Seiten528 Seiten
SpracheEnglisch
MasseBreite 175 mm, Höhe 250 mm, Dicke 33 mm
Gewicht1082 g
Artikel-Nr.60909922
Rubriken
GenreWirtschaft

Inhalt/Kritik

Inhaltsverzeichnis
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: Appendixmehr

Autor

Martin R Edwards is a Professor in Management at UQ Business School, University Queensland, Australia and has been teaching HR and Statistics for over 20 years. Kirsten Edwards is the Global Head of People Data and Analytics at Rio Tinto. With over two decades of international experience in Analytics, HR and Management Consulting, she has supported various organisations across multiple sectors, empowering them to utilise people data and analytics more effectively. Daisung Jang 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.