People Analytics Explained - Li, Kinsey
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People Analytics Explained provides practical advice and a framework for early HR practitioners to excel in people analytics by leveraging their natural strengths and applying key technical concepts without feeling pressured to becoming data scientists. The HR Skills Guide series of books: Discover the key HR functions, elevate your knowledge and prepare yourself for the people profession with the HR Skills Guide series. Written by experts for new and aspiring HR professionals, this collection of accessible guides are packed with practical, reliable advice on key topics such as talent…mehr

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Produktbeschreibung
People Analytics Explained provides practical advice and a framework for early HR practitioners to excel in people analytics by leveraging their natural strengths and applying key technical concepts without feeling pressured to becoming data scientists. The HR Skills Guide series of books: Discover the key HR functions, elevate your knowledge and prepare yourself for the people profession with the HR Skills Guide series. Written by experts for new and aspiring HR professionals, this collection of accessible guides are packed with practical, reliable advice on key topics such as talent acquisition, employee relations, people analytics and EDI to give you the essential skills needed to kickstart your career in HR.
Autorenporträt
Kinsey Li, based in London UK, is a globally recognised leader in people analytics, with deep experience building and scaling analytics functions across both industry and consulting. Named one of the Top 10 People Analytics Influencers Outside the United States, she has led senior roles at organisations including EY and Aon Hewitt, where she built high-performing teams across APAC and Europe. She speaks and writes regularly on the practical application of HR technologies and the future of work. She also serves on the advisory board of the MSc Human-Centric Management and People Analytics at University College London (UCL). Her work focuses on cutting through hype to develop sustainable people analytics functions that balance technical rigour with the human side of organizations.