Role of Talent Analytics in Strategic Human Resource Decision Making

Authors

  • Ruhi Afreen Research Scholar, S.K Institute of Management, Srikrishnadevaraya University, Anantapuramu, Andhra Pradesh, India
  • B Anitha Professor, S.K Institute of Management, Srikrishnadevaraya University, Anantapuramu, Andhra Pradesh, India

DOI:

https://doi.org/10.63671/ijsssr.v4i1.608

Keywords:

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

Abstract

Since that, talent analytics has become one of the most important tools for helping company was able to better predict their decisions in modern HR people analytics. This paper explores the importance of using talent analytics in HR decision making, and discusses how it is applied to recruitment, employee retention and turnover prediction, performance management, workforce planning, and succession planning. This paper, grounded in conceptual and review-based research, draws from existing literature to demonstrate the way that data-driven HR practices offer organizations effective tools with which to achieve effectiveness as well as competitive advantage. Key Findings Talent analytics supports evidence-based decision making Reduces turnover Improves employee engagement Strengthens alignment between human resource strategies and business goals But the issues of data quality, analytical capacity, technological capabilities and privacy protection define the success of implementation. The paper further forwards the argument that talent analytics has now moved on from being an overarching support function to establishing itself in the very core of strategy all for more sustainable growth and better outcomes within a workforce.

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Published

2026-05-30

Issue

Section

Articles

How to Cite

Afreen, R., & Anitha, B. (2026). Role of Talent Analytics in Strategic Human Resource Decision Making. International Journal of Science and Social Science Research, 4(1), 227-235. https://doi.org/10.63671/ijsssr.v4i1.608

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