Research on real-time data processing and audit optimization method of financial management based on internet of things and edge computing

With the rapid development of information technology, the demand for real-time data processing and audit optimization in financial management has become increasingly urgent. This study aims to explore real-time data processing and audit optimization methods for financial management based on IoT and edge computing. Realize real-time collection of financial data through Internet of Things technology to ensure the universality and authenticity of data sources; Use edge computing for preliminary data processing and analysis to improve data processing efficiency. The experimental results show that this method improves the data processing speed by about 35% and significantly shortens the period from data acquisition to usability. At the same time, the audit accuracy is improved by about 25%, effectively reducing errors and delays in data transmission. In addition, the system response speed is accelerated by about 40%, enhancing the emergency response capability of financial management. This study provides new ideas and methods for the digital and intelligent transformation of financial management and has a wide application prospect and practical value.