The Value of People Analytics

Understand how to use people analytics to drive business results and gain competitive advantage.

How do I turn people analytics activity into business value? What's the best way to turn HR observations into business insights that drive results? The Value of People Analytics answers these questions and explains how to use people analytics to achieve business success. Written by leading experts in the field, this book covers the key capabilities needed for effective use of people analytics as well as the strategic impact of analytics and how to use them to support organizational priorities. There is also discussion of how to measure the impact of analytics on business performance and how to implement people analytics across the company by scaling activity through automation. Using key models and practical advice, this book also allows HR professionals and senior business executives to explore personalization, improving adoption of people analytics and how to embed a data-driven culture at work. Full of real-world examples from global companies including Adidas, Booz-Allen, Colgate-Palmolive, Microsoft, HSBC and McDonald's, this is essential reading for all senior professionals needing to use people analytics to drive business performance and gain competitive advantage.

Includes real-world examples from Adidas, Booz-Allen, Colgate-Palmolive, Microsoft, HSBC and McDonald's

Auteur
David Green is a speaker, advisor and executive consultant on people analytics, data-driven HR and the future of work. Prior to launching his own consultancy, he was the Global Director of People Analytics Solutions at IBM Watson Talent. In 2023 he was named as one of the Most Influential HR Thinkers by HR Magazine.

Texte du rabat

Understand how to use people analytics to drive business results and gain competitive advantage.

Contenu

• • Chapter - 01: Business Priorities: The strategic impact of analytics
  • Chapter - 02: Skills: Key capabilities needed
  • Chapter - 03: Influence: People analytics and the board/C-Suite
  • Chapter - 04: Ethics: Data governance and the impact of AI
  • Chapter - 05: Measurement: Impact of analytics on business performance
  • Chapter - 06: Democratisation: Scaling analytics through automation
  • Chapter - 07: Personalisation: Generative AI, automation and adoption
  • Chapter - 08: Data-driven Culture: The CHRO and role-modelling
  • Chapter - 09: Conclusion;
  • Chapter - 10: Glossary