An Application of HR Analytics Tools in Strategic Decision-Making and Workforce Optimization
DOI:
https://doi.org/10.36690/2674-5208-2026-2-78-96Keywords:
HR analytics, strategic decision-making, workforce optimization, predictive analytics, data-driven HRAbstract
In the digital business environment, organizations increasingly rely on workforce data to improve human resource management, strategic planning, and organizational performance. HR analytics has become an important managerial tool because it enables companies to move beyond intuition-based decision-making and use evidence-based insights for workforce planning, talent allocation, employee retention, performance monitoring, and productivity improvement. The objective of this article is to examine the application of HR analytics tools in strategic decision-making and workforce optimization and to evaluate how these tools contribute to data-driven human resource management in organizations. The study applies a quantitative research methodology based on primary and secondary data. Primary data were collected through a structured questionnaire using a five-point Likert scale. The sample consisted of 356 respondents selected from approximately 300,000 IT employees in Andhra Pradesh, India, using Cochran’s sample size formula at a 95% confidence level. Secondary data were obtained from research articles, case studies, journals, books, and credible online sources related to HR analytics, predictive analytics, workforce planning, and organizational performance. The data were analysed using descriptive statistics, frequency and percentage analysis, correlation analysis, and multiple linear regression. The findings show that HR analytics tools are actively used in organizations for descriptive analytics, predictive analytics, HR dashboards, compensation analytics, engagement analytics, and workforce planning. The results indicate that 73% of respondents either strongly agreed or agreed that HR analytics improves strategic decision-making. The study also shows that HR analytics supports workforce optimization by identifying skill gaps, improving employee retention, enhancing productivity, and enabling better resource allocation. The article concludes that HR analytics is becoming a strategic asset in modern human resource management. Organizations that use analytics tools can make more accurate, evidence-based decisions and improve workforce efficiency. Future studies should expand the sample size, include more sectors and regions, apply longitudinal research designs, and test standardized models for measuring the impact of HR analytics on strategic decision-making, retention, productivity, and organizational performance.
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