Design and Optimization of Intelligent Financial Audit System Based on Big Data Algorithm

It is difficult for traditional audit methods to find all kinds of financial problems hidden in massive data. With the continuous development of information technology and network communication technology, computer-aided audit system has been widely used. Based on this, this article develops an intelligent financial audit system which can deal with various data types and automatically discover audit clues, and optimizes it by interdisciplinary thinking and comprehensive application of big data algorithm, data mining technology and financial audit theory. In this article, business intelligence theory and financial audit theory are organically combined to form a new and revolutionary audit theory and means. At the same time, a general process of data auditing by data mining is given, and the design of data mining model from audit data collection to audit data preparation is discussed in detail. The experimental results show that the stability of this system is high, and the accuracy rate can reach 94.87%. It shows that the system has certain reliability, and the constructed audit model and method are feasible, which can effectively improve the work efficiency of auditors.