From Human Intuition to Data Intelligence: Rethinking Talent Management through HR Analytics

Abstract

The growing accessibility of data and progress in analytics have instigated a substantial transformation in Human Resources Management (HRM), particularly regarding Talent Management.  This study has studied the implications of HR Analytics on Talent Management from a conceptual standpoint, seeking to elucidate the potential advantages and obstacles related to the use of data-driven methodologies in talent management.

 This study aims to explore and evaluate the potential consequences of HR Analytics on Talent Management by fostering a data-driven culture from an organizational standpoint. This study has encompassed research publications, journal papers, books, and articles pertaining to the concepts of Talent Management, HR Analytics, and data-driven culture within enterprises.

This study focuses on HR analytics, talent management, and their support on organizational performance.  The study found out that HR analytics has enhanced the significance of talent as an effective metric for evaluating performance and its contribution to the organization's competitive advantage.  It helps to assist leaders and decision-makers in making determinations regarding acquisitions, staff training, rewards, recognition, talent pipeline management, and employee retention to enhance organizational efficiency and effectiveness.  It is essential to recognize that metrics should be utilized as KPIs wherever feasible to evaluate the performance of both talents and the business as a whole.

This article also intends to help recruiting managers and decision-makers leverage HR analytics in talent management that could revamp the way organizations approach their talent and improve the outcome. HR analytics provides companies with information about important HR metrics such as employee engagement, turnover, and workforce diversity while enabling management to make evidence-based decisions on their talent policies.