The Strategy of Statistical Analysis of Audit Data in the Era of Big Data is Explored

Abstract

In the current era, audit data statistical analysis strategies have a variety of forms, we can also use a variety of forms to explore. But because the large amount of information has made things complex and changeable, it presents us with a lot of challenges. Since audit data is one of the necessary areas for socialist construction and development, we should value them. Therefore, the purpose of this paper is to use advanced algorithms to analyze the statistical analysis strategy of audit data in the era of big data. Based on the privacy and security provisions of the data age, this paper uses the data flow analysis algorithm to carry out comprehensive modeling analysis to detect the experimental results in order to improve the accuracy of the analysis. The experimental results show that using this algorithm to perform appropriate modeling operations can improve the speed and correctness of statistical analysis of audit data.