HR Analytic as a Strategic Tool: Predicting Talent Retention and Performance

Abstract

With the growing competitive and data-driven business landscape, organizations are becoming more and more pressurized to manage human capital in a strategic way to maintain competencies and minimize employee turnover. This paper discusses HR Analytics as a strategic management instrument of forecasting talent retention and employee performance in organizational environments. Quantitative research design was adopted whereby a structured questionnaire was used to conduct a survey on 300 employees in medium and large organizations. The research used descriptive and regression analysis to study the predictive value of HR analytics practices on the key workforce outcomes. The results indicate that the HR Analytics has a strong and positive influence on the performance of employees as well as retention of talent. The findings suggest that those organizations that have a stronger HR analytics tend to be in a better position to predict the risk of employee turnover and improve their performance using the insights of the data. The forecasting power of HR analytics ensures the workforce planning and enhances the efficiency of retention and performance management strategies through evidence-based decision-making. The research indicates the strategic importance of integrating analytical tools in the functions of human resource thus making HR an important aspect of organizational success. Though there are some shortcomings regarding the research design and the scope of data, the results can be extended to the HR professionals and organizational leaders attempting to use analytics to manage talent sustainably. The paper adds to the increasing amount of literature in strategic human resource management because it shows how HR analytics can change the conventional approach to HR to proactive and performance-driven systems that help establish competitiveness in the long term.