Enterprise Financial Analysis System Based on Data Mining Technology

This paper introduces a company financial analysis system based on data mining, in order to provide reliable help and help for the financial personnel and leaders, and systematic management of the company's financial data. Using Java as a programming language, while also using MyEclipse 11 as a development tool. Microsoft SQL Server 2008 Is our database management tool. Our development platform is J 2 EE. We use classical data mining techniques, such as Apriori association rules, clustering algorithms, decision tree algorithms, etc., to conduct a comprehensive analysis of enterprise financial data. It provides useful information about the financial executives and business executives, and helps the company's leaders to make faster decisions. The study found that of 9 food manufacturing enterprises, only 1 is “good” “A”, namely M23,3 companies have financial status is “B”, respectively M1, M4 and M10, among 3 companies have financial status is “ordinary C”, respectively M2, M8 and M15; M20 and M25 are two food manufacturing enterprises with general financial status, belonging to the D class. Among them, M23 is the best and the recommended index is the highest; M20 and M25 are the worst financial operation enterprises with high potential risk and not large-scale investment. Conclusion: This system has revolutionized the traditional enterprise financial analysis method and provides a streamlined, reliable and user-friendly method for the daily financial data evaluation. It significantly improves the market competitiveness of the enterprise and highlights the ultimate success of its design objectives.