TALENTSENSE AI: LEVERAGING PREDICTIVE HR ANALYTICS FOR ORGANIZATIONAL SUCCESS

Abstract

The increasing complexity of workforce management in modern organizations has highlighted the need for data-driven human resource practices. Predictive HR analytics has emerged as a powerful tool that enables organizations to anticipate employee behavior, identify retention risks, and enhance overall productivity. This study examines the role of predictive HR analytics in improving employee retention and productivity management. By leveraging historical employee data, performance metrics, and behavioral indicators, predictive models can forecast attrition trends and productivity outcomes with greater accuracy. The adoption of analytics-driven HR strategies allows organizations to implement targeted interventions, optimize talent utilization, and reduce turnover-related costs. Empirical insights suggest that predictive HR analytics supports proactive decision-making and enhances workforce stability. The findings emphasize that integrating analytics into HR management contributes significantly to sustainable organizational performance and competitive advantage.