Abstract

This review paper explores the transformative role of HR analytics in enhancing employee retention and satisfaction strategies within organizations. HR analytics, encompassing predictive, descriptive, and prescriptive approaches, leverages data-driven insights to inform decision-making and optimize HR practices. The paper examines theoretical frameworks such as Herzberg's Two-Factor and Expectancy Theory, highlighting their relevance in understanding employee motivations and behaviors. Key benefits of HR analytics include improved decision-making, enhanced employee engagement, and efficient resource allocation. However, challenges such as data privacy concerns, integration issues, and skill gaps must be navigated for effective implementation. Case examples from leading organizations illustrate successful applications of HR analytics in improving retention and satisfaction. Emerging trends like real-time analytics, natural language processing, and ethical AI are shaping the future of HR analytics, offering opportunities to enhance employee experiences and organizational performance further.