Predictive HR Analytics: Mastering the HR Metric - Rilegato

Edwards, Martin R.; Edwards, Kirsten; Jang, Daisung

Rilegato

ISBN 10: 1398615900 ISBN 13: 9781398615908

Casa editrice: Kogan Page Ltd, 2024

Riassunto

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 biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.

Su questo libro

Informazioni sull?autore

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.

Dettagli dell'edizione

• Editore: Kogan Page Ltd
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1398615900
• ISBN 13: 9781398615908
• Rilegatura: Copertina rigida
• Numero edizione: 3
• Numero di pagine: 504
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile