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Leveraging HR Analytics for Workforce Planning and Succession Management

Shaila Khanam Dr. Supriya Agarwal

Subject area: Management and Commerce  ·  Area of research: Human Resource

DOI: 10.64388/IREV9I9-1715254

Abstract

This study explores how HR analytics can enhance workforce planning and succession management in contemporary organizations. Facing challenges like talent shortages, high turnover, and rapid technological advancements, companies are turning to HR analytics to make informed, data-driven human resource decisions. HR analytics entails systematically gathering, analyzing, and interpreting employee data to improve workforce efficiency. For workforce planning, it aids in predicting future talent requirements, identifying skill gaps, and optimizing staffing levels. In succession management, it facilitates spotting high-potential employees, evaluating leadership readiness, and designing focused training programs to ensure effective leadership transitions.

References

[1] John W. Boudreau & Peter M. Ramstad (2007). Beyond HR: The New Science of Human Capital. Boston: Harvard Business School Press.

[2] Jac Fitz-enz (2010). The New HR Analytics: Predicting the Economic Value of Your

[3] Company’s Human Capital Investments. New York: AMACOM.

[4] Thomas H. Davenport, Harris, J., & Shapiro, J. (2010). “Competing on Talent Analytics.” Harvard Business Review, 88(10), 52–58.

[5] Mark A. Huselid (1995). “The Impact of Human Resource Management Practices on Turnover, Productivity, and Corporate Financial Performance.” Academy of Management Journal, 38(3), 635–672.

[6] Society for Human Resource Management (2016). Using HR Analytics to Drive Organizational Performance. SHRM Research Report.

How to cite this paper

Shaila Khanam, Dr. Supriya Agarwal "Leveraging HR Analytics for Workforce Planning and Succession Management" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 1480-1483 https://doi.org/10.64388/IREV9I9-1715254
Shaila Khanam, Dr. Supriya Agarwal "Leveraging HR Analytics for Workforce Planning and Succession Management" Iconic Research And Engineering Journals, vol. 9, no. 9, Mar. 2026, doi: https://doi.org/10.64388/IREV9I9-1715254
Shaila Khanam, Dr. Supriya Agarwal (2026). Leveraging HR Analytics for Workforce Planning and Succession Management. Iconic Research And Engineering Journals, 9(9). doi: https://doi.org/10.64388/IREV9I9-1715254
Shaila Khanam, Dr. Supriya Agarwal "Leveraging HR Analytics for Workforce Planning and Succession Management" Iconic Research And Engineering Journals, vol. 9, no. 9, Mar. 2026. Crossref, https://doi.org/10.64388/IREV9I9-1715254
@article{1715254,
      author = {Shaila Khanam, Dr. Supriya Agarwal},
      title = {Leveraging HR Analytics for Workforce Planning and Succession Management},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {1480-1483},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715254.pdf},
      abstract = {This study explores how HR analytics can enhance workforce planning and succession management in contemporary organizations. Facing challenges like talent shortages, high turnover, and rapid technological advancements, companies are turning to HR analytics to make informed, data-driven human resource decisions. HR analytics entails systematically gathering, analyzing, and interpreting employee data to improve workforce efficiency. For workforce planning, it aids in predicting future talent requirements, identifying skill gaps, and optimizing staffing levels. In succession management, it facilitates spotting high-potential employees, evaluating leadership readiness, and designing focused training programs to ensure effective leadership transitions.},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1715254}
  }