Design of Financial Indicator Analysis System Based on Fuzzy Recognition Algorithm and Big Data

Financial analysis is a method of analyzing the overall operating status of an enterprise based on financial information, which can help managers judge the company’ s operating risks and adjust the company’ s operating conditions in a timely manner, so as to better achieve business management. This paper aims to study the design of financial indicator analysis system through big data. This paper proposes to find the best clustering center by means of fuzzy identification algorithm, determine the quality of the company’ s operating status, calculate the company’ s overall operating indicators, and determine the company’ s risk level and improvement direction. The experimental results of this paper show that the fuzzy identification algorithm can help the enterprise to determine the overall state of the enterprise’ s operation, improve the financial risk identification ability by 20%, and better realize the enterprise’ s financial analysis and processing.