Publication Details

Abstract

Human resource analytics are the focus of this research exploring their potential to boost productivity at Union Bank of India. The purpose of the research is to find out whether financial sector companies can improve their productivity and efficiency by using data-driven HR programs. By systematically examining employee data, HR analytics can reveal their level of engagement, training, productivity, and attendance. Predictive analytics can assist identify skill shortages and maximize workers' time, according to the paper. It delves into the ways in which evidence-based decision-making could enhance methods for attracting and retaining top talent. The impact of HR analytics on employee motivation and job satisfaction is also examined in the paper. The bank can enhance service delivery and reduce operational inefficiencies by utilizing real-time data. The research relies on secondary data and sources from the industry to conduct its descriptive analysis. Applying HR analytics and boosting productivity go hand in hand, according to the results. Two of the most significant outcomes are enhanced methods for managing performance and enhanced training. Human resource analytics are highlighted as a key component of modern banking operations in this paper.