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HR Analytics: Integrating Theory and Practice offers a clear, conceptually grounded, and practice-oriented guide to understanding and applying data-driven approaches in human resource management. Designed for postgraduate management students, the book cuts through the noise surrounding HR analytics by explaining its core ideas through a first principles-based framework. It connects foundational concepts with contemporary organizational needs, helping readers understand why HR analytics has emerged as a critical capability in modern, digital enterprises. The book aligns with the National Education Policy (NEP) 2020, with its emphasis on analytical thinking, skill-based learning, and strong industry relevance.
Drawing on the 5W1H (Why, What, Who, When, Where, and How) framework, the text is organized to provide both conceptual clarity and practical progression. The early chapters examine the evolving role of HR in the digital era and establish the strategic and theoretical foundations of HR analytics. Subsequent chapters focus on the core processes that enable analytics, including HRIS and data management, HR metrics and key performance indicators, and the statistical techniques required to analyse and interpret HR data. Each chapter addresses specific analytical questions while remaining interconnected within a coherent learning pathway.