The Role of Big Data Finance in Supporting and Supervising Corporate Financial Decision-Making

Abstract

With the rapid adoption of big data technologies in finance, opportunities have emerged to enhance the transparency and compliance of corporate financial decision-making. This paper first reviews the concept and evolution of big data finance, then constructs a “supportive supervision–decision optimization–risk prevention” theoretical framework. Using panel data from representative listed firms, we select key variables and employ multivariate regression and robustness checks to empirically assess the supervisory effects of big data finance in the decision-making process. Our findings show that big data finance significantly strengthens firms’ real-time internal control monitoring capabilities, improves the accuracy of financial budgeting and forecasting, and enhances the quality of financial reporting. Moreover, its supervisory function has a pronounced positive impact on reducing financial fraud risk and boosting corporate performance. Finally, we offer management recommendations—such as improving big data platform infrastructure, reinforcing data governance and privacy protection, and fostering coordinated mechanisms between regulators and market participants—to provide practical guidance for more scientific financial decision-making and a more effective regulatory system.