Financial Indicator System Based on Data Mining Algorithm

Abstract

Data mining technology (DMT) is an innovative technology based on data, which brings opportunities and challenges to all walks of life. Under this background, how to solve the problems of the existing financial analysis (FA) system through DMT, and how to find valuable financial information from the data and feed it back to the enterprise decision-makers. These are all problems worth studying. As an important part of the company’s work, FA has been influenced by DMT innovations that provide effective solutions to problems that are difficult to solve with traditional FA processes, such as intelligent FA, optimising the quality of the company’s financial statements and preventing potential financial risks to the company. The main purpose of this paper is to design and research the financial indicator analysis system based on DM algorithm. In this paper, the presentation of enterprise financial data is mainly divided into two dimensions: one is the presentation of basic data; The second is the dimension of FA. Through the horizontal and vertical comparative analysis of financial capabilities, the financial problems of enterprises are found. Through experimental research, it is found that the application of DM FA platform improves the efficiency of enterprise management decision-making and saves costs for enterprises.