Big Data-Driven Operational Efficiency for Enterprise Financial Sharing Centers: An Empirical Study

This study investigates how big data technology enhances the operational efficiency of enterprise financial sharing centers. As digital transformation accelerates, traditional sharing centers face bottlenecks in data management, rigid processes, limited collaboration, and passive decision-making. To address this, the study constructs a four-in-one mechanism—technology empowerment, process reengineering, organizational coordination, and decision optimization—based on a sample of 50 large enterprises. Using a before-and-after empirical approach, it analyzes improvements in data integration, automation rates, and decision quality. Results show a 75% reduction in data errors, over 65 percentage-point increases in automation rates, and significant gains in forecasting accuracy and decision speed. These findings reveal that big data enables financial centers to evolve from transaction processors into strategic value creators. The proposed mechanism offers both a theoretical framework and a practical path for enterprises seeking digital synergy between financial operations and business goals.