In the context of the rapid development of big data technology, the financial management model of Internet financial enterprises is undergoing a profound transformation. This paper analyzes the key aspects of applying big data technology in Internet finance, including its basic concepts, characteristics, and current state of development in the field. It examines the current situation and primary challenges faced by financial management in Internet financial enterprises, such as risk management, cost control, and data integration. To address these challenges, optimization strategies based on big data are proposed, focusing on areas such as risk control and cost optimization. By constructing a financial data analysis model, this study provides an in-depth analysis of relevant data, demonstrating the role of big data technology in improving financial management. Finally, through a case study, the effectiveness of big data applications in financial management is verified, and future development directions are discussed.
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