Predictive Analytics in Human Resource Management: Leveraging Data Mining for Talent Acquisition

Abstract

Predictive analytics in Human Resource Management (HRM) is an emerging trend that harnesses the power of data mining techniques to optimize decision-making, improve talent acquisition, and enhance workforce management. This paper explores how predictive analytics can be effectively utilized in HRM to forecast hiring needs, evaluate candidate suitability, and improve recruitment strategies. Through a review of existing literature, we demonstrate the role of data mining in HR functions and its ability to provide actionable insights. The methodology section presents the application of various data mining algorithms in HR processes, followed by a discussion of results and analysis. Finally, the paper concludes by discussing the benefits and challenges of implementing predictive analytics in talent acquisition.