EVOLUTION AND IMPORTANCE OF HR ANALYTICS IN MODERN ORGANIZATIONS

Abstract

This report explores the evolution and importance of HR analytics in today's business environment. It emphasizes its shift from traditional HRM to a data-driven and strategic approach. Data is used to make decisions in today's highly competitive business environment. HR analytics is now a crucial tool for enhancing efficiency and effectiveness in HR practices. This study follows the development of HR analytics from descriptive analytics (historical data and basic reporting) to predictive analytics (predicting employee behaviour and performance). It also discusses the rise of prescriptive analytics, which helps with proactive decision-making through insights based on data. The use of technologies like artificial intelligence, machine learning, and big data has greatly improved the scope and accuracy of HR analytics. The report highlights the applications of HR analytics in important HR functions. It enhances the recruitment process in sourcing, streamlines the candidate selection, and elevates the quality of hiring decisions. HR Analytics helps organizations in talent management and performance assessment by enabling them to plan their workforce, understand their skill gaps, and track performance effectively. It also ensures improved employee engagement and retention by examining employee data and feedback. Moreover, the study will summarize the present research and highlight the trends and the rising significance of HR analytics in organizations across the globe. It also highlights problems such as poor data quality, the lack of analytical skills, limitations in technology and ethics issues regarding data privacy and bias.. Overall, the report highlights the growing significance of HR analytics in enabling better decision-making and improving organizational performance.