Abstract

This paper presents a conceptual framework for designing a workforce analytics model to improve employee productivity and wellbeing, critical components of effective talent management and organizational efficiency. In the introduction, the significance of workforce analytics in addressing contemporary challenges in talent management is established, highlighting the need for data-driven decision-making in organizations. A comprehensive literature review explores existing research on workforce analytics, factors influencing employee productivity and wellbeing, various talent management frameworks, and the impact of organizational efficiency on overall performance. The conceptual framework delineates the model's components, key metrics for measuring productivity and wellbeing, and its integration with existing talent management strategies. A robust methodology outlines the research design, data collection methods, data analysis techniques, and potential limitations. The results section presents key findings, validating the model's effectiveness through quantitative and qualitative analysis and case studies from diverse organizations. The conclusion summarizes the study's main contributions, discusses practical implications for organizations seeking to implement the model, and suggests future research directions to expand on the findings. This research underscores the transformative potential of workforce analytics in fostering a supportive work environment that enhances both employee and organizational performance.