Intelligent Mining Method of Audit Data Characteristics under Financial Shared Service Mode

Abstract

With the development of society, the importance of centralized management and exchange of data has gradually emerged, and large groups have gradually increased their favor for the financial shared service model. There are still some differences between the traditional financial management model and the shared financial model, and internal audit has gradually changed with the change of the management model. Under the financial shared service model, facing the challenge of increasingly quantified data by audited entities, the traditional methods of many domestic accounting firms have been unable to cope with the challenge. How to use data mining technology to effectively discover data in massive data. They are very important for data control. The purpose of this article is to study the intelligent mining of audit data characteristics under the financial shared service mode, and analyze the related technologies of the intelligent mining of audit data characteristics, and combine the professional audit content to study how to use intelligent mining on audit data under the financial shared service mode method, imitating the real situation of auditing data by audit institutions in daily life, comprehensively applying various mining algorithms to analyze the experiment, the experiment proves the accuracy of the intelligent mining method of audit data characteristics in the financial shared service mode in several types of data sets. The highest can reach 86.2%, which proves that the mining model established in this article has certain reference value for actual audit data mining.