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Leveraging Predictive Analytics for Strategic Compensation Forecasting

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  • Shraddha Verma

    (University of North Carolina at Charlotte, USA)

Abstract

This article explores the transformative role of predictive analytics in modern compensation management and forecasting. The article examines how organizations leverage advanced analytics capabilities to enhance their compensation strategies while maintaining market competitiveness. Through a comprehensive analysis of implementation methodologies, the article demonstrates significant improvements in talent retention, employee engagement, and organizational performance through data-driven approaches. The article investigates various aspects, including predictive modeling techniques, time series analysis, multivariate regression models, and machine learning applications in compensation planning. It further explores strategic implementation considerations, highlighting the importance of data quality, model maintenance, and stakeholder engagement in successful analytics deployment. The article reveals substantial enhancements in forecasting accuracy, budget allocation efficiency, and cost management through the integration of advanced analytical capabilities.

Suggested Citation

  • Shraddha Verma, 2025. "Leveraging Predictive Analytics for Strategic Compensation Forecasting," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(4), pages 283-288, May.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:4:id:9514
    DOI: 10.32996/jcsts.2025.7.4.32
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