HR ANALYTICS AS A COMPONENT OF THE HUMAN RESOURCE MANAGEMENT SYSTEM: IMPACT ON THE EFFECTIVENESS OF MANAGERIAL DECISION-MAKING

Abstract

The article explores the role of HR analytics as a strategic component of the modern human resource management system and examines its fundamental impact on the effectiveness of managerial decision-making. In the context of global market volatility, intensifying competition, and the growing importance of human capital as a primary source of competitive advantage, organizations face an urgent need to transition from subjective, intuitive practices to objective, data-driven approaches. The study substantiates the necessity of systemic integration of analytical tools into all functional subsystems of HRM, including recruitment, onboarding, objective performance evaluation, targeted employee development, and proactive retention programs. Descriptive analytics is presented as a tool for summarizing historical data; diagnostic analytics identifies causal relationships and underlying drivers of workforce trends; predictive analytics utilizes statistical modeling and machine learning to forecast future talent needs and turnover risks; and prescriptive analytics provides optimized recommendations for strategic action. It is established that the implementation of HR analytics contributes to the validity and timeliness of managerial decisions, reduces uncertainty, and enhances forecasting capabilities. Moreover, the use of HR metrics enables organizations to identify patterns in employee behavior, assess performance outcomes, and improve the alignment between human resources and organizational objectives. Furthermore, the study identifies primary barriers associated with the implementation of HR analytics, including limited data quality, insufficient analytical competencies, and organizational resistance to change. Addressing these challenges requires the development of analytical culture and the enhancement of data management practices. The findings confirm that HR analytics functions not only as a diagnostic instrument but as a sophisticated strategic management tool. It facilitates improved organizational performance, optimizes labor costs, and supports the comprehensive transition toward a data-driven management paradigm, which is essential for organizational resilience in the digital economy.