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In today’s hyper-competitive business landscape, organizations are seeking smarter ways to harness the power of human capital—and Human Resource Analytics: Theory and Application Techniques equips students and practitioners with precisely that toolkit. Authored by Swati Dhir and Suparna Pal, this text is a comprehensive technical handbook on leveraging HR data to drive organizational effectiveness.
Spanning 364 pages, the book unfolds in a structured progression—from foundational theory through data preparation and statistical analysis, all the way to real-world HR applications and qualitative techniques. Central themes include descriptive, predictive, and prescriptive analytics in the HR domain, offering both theoretical insight and hands-on approaches to solving workforce challenges.
What sets the text apart is its emphasis on experiential learning: each chapter features real-life case studies, critical thinking exercises, and application-based examples. This interactive approach helps readers not only understand analytical methods but also apply them to design HR programs and analyse outcomes effectively.
Whether you’re a management student preparing for strategic HR roles or a working professional seeking to infuse data-driven insights into talent decisions, this book serves as a practical and scholarly guide through the entire HR analytics lifecycle—from metric development and statistical tools to actionable recommendations.
