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HR Analytics : A Complete Guide to the Theory and Practice of Data-Driven HR
HR Analytics : A Complete Guide to the Theory and Practice of Data-Driven HR
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Author(s): Tambay, Prerna
ISBN No.: 9781398611542
Pages: 272
Year: 202411
Format: Trade Paper
Price: $ 71.76
Status: Out Of Print

What is HR analytics and why is it important? What are the main models and tools and how should they be used? How can insights from people data add business value? Understanding HR analytics is essential for a successful career as a people professional. This textbook has been specifically designed for final year undergraduate and postgraduate HR students and provides a thorough grounding in both the theory and practice of HR analytics. It contains an introduction to the concept of HR analytics, definitions of key terms and an outline of the main HR analytics models including descriptive, predictive and prescriptive models as well as a dedicated section on the skills needed for effective HR analytics practice. This includes how to develop a hypothesis and carry out root cause analysis. HR Analytics also has extensive guidance on data gathering, preparation and reporting as all as how to display visualization of the results. This book provides expert discussion of how people data can be used to improve engagement, wellbeing, diversity and sustainability in an organization as well as crucially, how to ensure that all data is handled confidentially, fairly and ethically. There is also step by step guidance on organizational network analysis, statistical modelling tools, regression modelling in people analytics and the basics of R. Packed with pedagogical features including learning objectives, examples, exercises and reflective questions to help reinforce student learning, this book also includes international case studies from countries including US, India, China, Germany and the UK and practice data sets are provided to help students put their learning into practice.


Online resources: Powerpoint slides for every chapter and practice data sets.


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