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International Journal of Science, Strategic Management and Technology

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A STUDY ON ROLE OF HR ANALYTICS IN PREDICTING EMPLOYEE PERFORMANCE AND RETENTION

AUTHORS:
K . Joshika
Mentor
Dr . C . Kathiravan
Affiliation
MBA School of management  Dhanalakshmi Srinivasan University
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Human  Resource  Analytics  has emerged  as a critical  strategic  tool in modern  organizations. The study focuses on the role of HR analytics in predicting employee performance and retention. Organizations increasingly rely on analytical methods to identify employee behavior  patterns,  productivity  indicators,  and retention  risks.  The report  discusses  how HR analytics supports decision -making processes through data interpretation, predictive modeling, and workforce planning. The study also highlights how employee satisfaction, training effectiveness, compensation structures, and organizational culture influence employee retention. The research methodology includes both qualitative and quantitative analysis techniques. Findings indicate that organizations using HR analytics experience improved employee engagement, better productivity management, and reduced turnover rates. The report concludes that HR analytics plays a vital role in enhancing organizational efficiency and competitiveness. Human Resource Analytics has emerged as a critical strategic tool in modern organizations. The study focuses on the role of HR analytics in predicting employee performance and retention. Organizations increasingly rely on analytical methods to identify employee behavior patterns, productivity indicators, and
retention risks. The report discusses how HR analytics supports decision -making processes through data interpretation, predictive modeling, and workforce planning. The study also highlights how employee satisfaction, training effectiveness, compensation structures, and organizational culture influence employee retention. The research methodology includes
both qualitative and quantitative analysis techniques. Findings indicate that organizations using HR analytics experience improved employee engagement, better productivity management, and reduced turnover rates. The report concludes that HR analytics plays a vital role in enhancing organizational efficiency and competitiveness.

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Joshika, K. .. (2026). A Study on role of HR Analytics in Predicting Employee Performance and Retention. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.497

Joshika, K. "A Study on role of HR Analytics in Predicting Employee Performance and Retention." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.497.

Joshika, K. "A Study on role of HR Analytics in Predicting Employee Performance and Retention." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.497.

References
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3. Bassi, L. (2011). Raging debates in HR analytics. People and Strategy.
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5.Vijayashankar, U., & Bharathi, S. (2026). Sustainable tourism in India: Assessing the effectiveness of carbon-neutral destination policies. Minnesota Journal of Business Law and Entrepreneurship,

6.Becker, , Huselid,  M., & Ulrich,  D. (2001).  The HR Scorecard.  Harvard  Business
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7. Marler,  J., & Boudreau,  J. (2017).  An Evidence -Based  Review  of HR Analytics.
International Journal of Human Resource Management.  Factor  Impact on Retention (%)
Training & Development  82
Compensation  76
Leadership Support  88
Work -Life Balance  80

8.Yoganand, S., Vijayashankar, U., & Bharathi, S. (2026). Sustainable tourism in India: Assessing the effectiveness of carbon-neutral destination policies. Minnesota Journal of Business Law and Entrepreneurship, 1, 1241–1251.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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