What is HR analytics and why is it important? What are the main models and analysis 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 and why it's important including definitions of key terms. There is also an outline of the main models of HR analytics 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 extensive guidance on data gathering, preparation and reporting as all as how to display visualisation 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 to give students a global understanding of HR analytics. Most importantly, HR Analytics is accompanied by practice data sets that can be used to help students put their learning into practice. This makes it an ideal textbook for all HR students needing to understand how to collect, handle and analyse data confidently and ethically so that they can add business value in their roles as people professionals after university. Online resources: Powerpoint slides for every chapter and practice data sets.