Implementation of People Analytics in HR Management to Improve Employee Performance and Job Satisfaction

Abstract

The rapid development of technology and data analytics has transformed Human Resource (HR) management, particularly in improving employee performance and job satisfaction. This study explores the implementation of People Analytics in HR management using a qualitative approach through literature review and library research methods. People Analytics leverages data-driven insights to optimize recruitment, performance evaluation, employee engagement, and retention strategies. By systematically analyzing workforce data, organizations can make informed decisions that enhance productivity and job satisfaction. This study highlights the key benefits of People Analytics, including identifying performance gaps, predicting employee turnover, and fostering a more inclusive and engaging work environment. Findings from various academic sources suggest that organizations that integrate People Analytics experience improved decision-making processes and a more strategic HR function. However, challenges such as data privacy concerns, ethical considerations, and the need for skilled HR professionals to interpret data remain significant barriers to successful implementation. The study concludes that People Analytics can revolutionize HR management by promoting a data-driven culture that aligns employee needs with organizational goals. By adopting this approach, companies can create a more dynamic and responsive work environment that enhances employee satisfaction and overall business performance. Future research should focus on empirical case studies to further validate the impact of People Analytics in different organizational contexts.