Strategic Influence of HR Analytics on Data-Driven Decision Making: Advancing Human Capital Management in the Digital Era

This study examines the transformative role of HR analytics in enabling data-driven decision-making within human resource management (HRM). By analyzing secondary data from academic journals, industry reports, and organizational case studies, the research highlights how HR analytics enhances strategic workforce planning, talent acquisition, and performance management. Despite its potential, many organizations struggle with limited analytical maturity, skill gaps, and ethical concerns related to data privacy and algorithmic bias. Key findings suggest that leadership commitment, technological infrastructure, and employee data literacy are critical for successful HR analytics adoption. The study also underscores the need for ethical frameworks to ensure transparency and fairness in data usage. Practical recommendations include investing in HR training, upgrading analytical tools, and fostering a data-driven culture. The research contributes to strategic HRM literature by bridging gaps between analytics adoption and its real-world implementation, offering insights for policymakers, HR professionals, and organizational leaders to optimize human capital strategies.