This article examines the integration of compensation analytics with learning and retention management strategies in modern organizations. The article analyzes how companies leverage predictive analytics and structured frameworks to enhance employee retention and development outcomes. Through a comprehensive analysis of multiple research studies, the article demonstrates the effectiveness of integrated compensation systems in improving employee performance, engagement, and retention. The research highlights the significance of skill-based compensation frameworks, automated tracking systems, and data-driven decision-making in modern workforce management. Additionally, it explores the implementation of strategic frameworks for retention management and evaluates the return on investment in human resource development initiatives, providing insights into the measurement and optimization of these programs.
Keywords: Employee Retention, Performance Management., compensation analytics, predictive modeling, workforce development
