Human capital analytics for strategic human resource decision-making: Data-driven insights to enhance organizational performance and sustainability
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Abstract
Human capital analytics has become an essential approach for improving strategic human resource (HR) decision-making in increasingly data-driven organizations. This study aims to examine how human capital analytics supports evidence-based HR practices by enhancing workforce planning, talent management, employee performance, retention, and organizational competitiveness. The study employs a qualitative literature review using a systematic document analysis of peer-reviewed journal articles, books, and industry reports published between 2019 and 2025. Data were analysed through thematic analysis to identify recurring concepts, emerging trends, implementation challenges, and strategic implications of human capital analytics across diverse organizational contexts. The findings reveal that integrating workforce data with advanced analytical techniques enables organizations to make more accurate, objective, and proactive HR decisions. Human capital analytics also improves recruitment effectiveness, predicts employee turnover, optimizes learning and development investments, and strengthens organizational agility. However, successful implementation requires high-quality data, technological infrastructure, analytical capabilities, and ethical governance of employee information. The study concludes that human capital analytics is a strategic organizational capability that transforms HR from an administrative function into a value-creating business partner, contributing to sustainable organizational performance, workforce resilience, and long-term competitive advantage.
Keywords:
data-driven decision-making human capital analytics strategic human resource management organizational performance workforce analyticsReferences
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