People Analytics: Using data-driven HR and Gen AI as a business asset - Brossura

Napper, Cole

 
9781398622166: People Analytics: Using data-driven HR and Gen AI as a business asset

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How can you turn HR data into insights that boost business performance?

People Analytics
by Cole Napper is a practical guide for HR managers, business partners and mid-career professionals who want to use data, analytics and AI to deliver measurable value across the organization.

Written by a leading voice in the field, the book explains how to integrate people analytics into daily decision-making, from building robust HR data infrastructure to applying ethical, AI-driven insights. Drawing on real-world examples from Toyota, PepsiCo, Lightcast, Booster and FedEx, it provides a clear roadmap for building capability and confidence in data-led HR.

You'll learn how to:
- Design a people analytics function that supports strategic business goals
- Build high-quality HR data systems for accurate, reliable insights
- Apply AI and generative AI to enhance analysis and forecasting
- Use analytics ethically to improve talent decisions and workforce planning

With practical models, step-by-step guidance and proven real-world examples, People Analytics equips mid-career professionals to turn HR data into a competitive advantage, helping you make smarter decisions and demonstrate the strategic value of your role.

Themes include: people analytics, HR data strategy, AI in HR, ethical analytics, data-driven decision-making

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Informazioni sull?autore

Cole Napper is the VP Research & Innovation at Lightcast. Prior to this he was Vice President, People Analytics at Orgnostic. With more than 15 years' experience in the people analytics space, he is a frequent conference speaker, industry writer and co-host of the people analytics podcast, Directionally Correct. He is based in Dallas, Texas.

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Altre edizioni note dello stesso titolo

9781398622180: People Analytics: Using data-driven HR and Gen AI as a business asset

Edizione in evidenza

ISBN 10:  1398622184 ISBN 13:  9781398622180
Casa editrice: Kogan Page, 2025
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