Utilization of People Analytics and Big Data in Improving HR Decision-Making Efficiency in Modern Organizations

Abstract

The rapid advancement of digital technologies has encouraged organizations to adopt data-driven approaches in human resource management. This study aims to examine the utilization of People Analytics and Big Data in improving the efficiency of human resource (HR) decision-making in modern organizations. The research employs a library research method by reviewing books, peer-reviewed journal articles, conference papers, and other relevant scientific publications. Data were analyzed using content analysis to identify recurring themes, relationships, and significant findings. The results indicate that the integration of People Analytics and Big Data enhances recruitment, performance evaluation, workforce planning, talent management, employee engagement, and retention through more accurate, objective, and evidence-based decision-making. The findings are supported by the Resource-Based View, Human Capital Theory, and Evidence-Based Management, which emphasize the strategic value of analytical capabilities and human capital. Despite challenges related to data quality, organizational readiness, and privacy concerns, the study concludes that integrating People Analytics and Big Data significantly improves HR decision-making efficiency and strengthens organizational competitiveness in the digital era.