HUMAN RESOURCE ANALYTICS: A DATA-DRIVEN APPROACH TO TALENT MANAGEMENT

Authors

  • Ayesha Khan Ayesha Khan Author
  • Muhammad Rizwan Institute of Business Administration, Karachi, Pakistan. Author

DOI:

https://doi.org/10.71465/mrcis128

Keywords:

Human Resource Analytics, Data-Driven HR, Talent Management, Predictive Analytics, Workforce Planning, Employee Retention, Decision-Making, Organizational Performance

Abstract

Human Resource Analytics (HRA) has emerged as a transformative approach to strategic talent management, enabling organizations to make data-driven decisions in recruitment, performance appraisal, retention, and employee development. By integrating data science techniques with HR practices, HRA provides insights that help firms align human capital with business objectives. This study examines the evolution of HRA, its role in evidence-based HR decisions, and its impact on organizational effectiveness. It emphasizes the integration of predictive analytics for workforce planning, turnover prediction, and employee engagement optimization. The findings highlight that organizations leveraging HRA enjoy improved decision accuracy, higher retention rates, and enhanced productivity. The article concludes with strategic implications for adopting analytics as a core component of HR management.

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Published

2025-08-03