HR ANALYTICS USING KNIME (Evidence Based HR Decision Making)

Dr. Anand Shankar Raja M PhD (HRM) Dr. Anand Shankar Raja M is an accomplished academician, researcher, and practitioner whose career spans Human Resource Management, Consumer Behaviour, Mystery Shopping, and applied analytics. He holds a PhD in HRM focussing on “Mystery Shoppers” from SRM University, where his research laid the foundation for a deep understanding of employee behaviour, customer experience, and organizational performance. Over the years, he has contributed meaningfully to academia through teaching, research guidance, and institutional development across reputed institutions including ISBR Business School, Christ University, and Kumaraguru College of Liberal Arts and Science His role extends to developing research culture, managing scholarly processes, and training scholars in contemporary analytical tools and research methods. His academic leadership is complemented by extensive experience as a mystery shopper, where he has collaborated with leading brands to assess service delivery, customer journeys, and retail performance, translating real-world insights into research and classroom learning. With more than a decade of teaching and research experience, Dr. Anand has published in national and international journals, presented at leading conferences; and contributed to projects involving copyrights, patents, digital literacy initiatives, and socio-economic studies. His work has been recognized with the Engal Aasan award for educational impact, reflecting his commitment to nurturing young minds and fostering a culture of inquiry and excellence Dr. Anand’s interdisciplinary expertise—spanning behavioural sciences, HR analytics, market research, and technology-enabled learning—has positioned him as an advocate for data-driven decision-making in HR and management education. His hands-on proficiency with KNIME, combined with years of teaching HR analytics, has inspired this book, crafted to empower students, academicians, and professionals to explore practical, real-time analytics using a powerful open-source platform.