Financial Sharing Model Based on Artificial Intelligence

Abstract

With the advent of the era of big data intelligence, the process of enterprise financial intelligence construction is accelerated, and the operation and management mode of enterprise financial center is constantly changing from the traditional mode to the intelligent and automatic management mode. This paper takes an enterprise's financial center as the research object. Firstly, it expounds the theories of Financial Sharing and its operation management, big data intelligence and so on, so as to provide the necessary theoretical support for the subsequent optimization. Secondly, through on-the-spot investigation, interview and collection of relevant information, this paper describes the current situation of the operation and management of enterprise financial center, and analyzes the problems. In the process of describing its current situation, it is found that the problems that can be optimized from the perspective of big data and RPA intelligence include performance management, risk management and process management. Then, the solutions to the above problems are designed, the performance evaluation optimization based on RPA k-means algorithm and the violation prediction model based on C4.5 decision tree algorithm are constructed, the tax management process optimization based on RPA is combed, and an example of the model is given. The experimental results show that this method can improve the efficiency of enterprise financial center and the accuracy of data processing.