People Analytics: A Strategic Tool to Optimize Organizational Well-being and Sustainability

Abstract

Controlling the costs associated with corporate healthcare utilization and employee absenteeism represents an increasing challenge for organizational sustainability, particularly in emerging economies. This study applies a People Analytics framework to examine the relationship between medical service utilization, work incapacity, and associated economic losses using monthly aggregated administrative data. The methodology combines exploratory data analysis, predictive modeling through Ridge regression with temporal validation, scenario analysis, and pre–post comparisons. Results reveal substantial temporal variability and a strong concentration of costs among a limited number of healthcare providers. The predictive model significantly outperforms a naïve temporal baseline, highlighting the importance of service utilization volume and temporal persistence of incapacity. In addition, the comparison between July and November 2025 shows reductions exceeding 30% in both incapacity hours and total economic loss. Overall, the findings demonstrate the value of People Analytics as an evidence-based tool to support preventive decision-making and enhance financial and operational sustainability.