Design and application of transaction monitoring visualization system in banking financial business

Abstract

With the rapid development of Internet finance, the traditional banking financial business monitoring methods have been unable to meet the growing business needs due to scalability and reliability problems. This study designed and implemented a visualization system for banking transaction monitoring based on computer technology. The core of this system lies in the use of efficient log capture technology, structured storage methods, and multi perspective visualization analysis technology, while integrating transaction volume prediction and warning functions. By adopting a text keyword extraction algorithm based on weighted TextRank and combining it with a dynamic threshold adjustment mechanism, the system can significantly reduce false alarm rates and improve response speed. In addition, by utilizing distributed graph storage technology, the system can maintain high performance even when the amount of data increases. This study aims to build an intuitive and efficient monitoring platform to accelerate business insights and enhance the risk management and business decision-making capabilities of banks.