Human Resource Analytics as a Strategic Tool for Talent Retention
Keywords:
employee retention, human resource analytics, predictive analytics, strategic HRM, talent managementAbstract
Human Resource Analytics (HRA) has emerged as a critical strategic tool in managing workforce dynamics, particularly in addressing the persistent challenge of talent retention. This study aims to explore how organizations can leverage HRA to enhance their retention strategies by identifying patterns, predicting turnover risks, and informing evidence-based decision-making. Using a qualitative approach supported by case study analysis, the research investigates the implementation of HRA in several organizations across different industries. The findings indicate that organizations utilizing advanced analytics are better equipped to understand employee behavior, satisfaction drivers, and engagement levels, which significantly impact retention. Moreover, the integration of predictive analytics allows HR departments to proactively address potential attrition. The study highlights the importance of data literacy, technological infrastructure, and cross-functional collaboration in optimizing HRA initiatives. The implications suggest that when used strategically, HRA not only improves retention but also aligns talent management practices with overall business objectives. This paper contributes to the growing literature on data-driven HR strategies and offers practical insights for HR professionals seeking to retain top talent in a competitive market.
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