Design And Implementation Of Financial Analysis System Based On Data Mining

With the steady advancement of information technology,efficient,fast and safe enterprise financial management has become one of the key concerns of enterprise management personnel.Not only that,the integration of corporate and financial services is getting closer and closer.As the volume of corporate business grows,the financial data from the data management system of the financial sector is getting bigger and bigger.At the same time,a large amount of financial data plays an important role in the development of enterprises.However,many enterprises still stay in the traditional Excel data form mode in financial management,and are lack of information system management,and are not easy to retrieve and edit daily data,and the important financial data is often lost,which seriously restricts the development process of the enterprise.At the same time,the important financial data generated by many years of operation have been scattered and idle for a long time,and there is always the risk of being ignored or being discarded.Having been lack of systematic management of enterprise financial data,also seriously affected the efficiency of management of the corporate finance department.Therefore,how to take efficient and convenient information technology in the era of "train",and combine the technology of data mining for the enterprise financial department and business leaders to provide reliable support and help,and use the systematic management of enterprise financial data,have become a focus on one of the problems for the enterprise management department.Therefore,it is very important and urgent to adopt the data mining technology to realize the systematical management of enterprise finance.Meanwhile,it is of practical value to study the large enterprise financial data based on data mining.In this thesis,which is based on the research of enterprise financial data and analysis,combined with the data mining technology,the extraction and use of the enterprise financial department daily management process of large financial data,designs and realizes a enterprise financial data analysis system based on data mining.In combination with the software engineering design idea,through the preliminary demand investigation and analysis and the many advantages of the current B/S architecture,we decided to adopt the Java programming language,the MyEclipse11 programming tool,Microsoft SQL Server 2008 database management tool,the J2 EE development platform,and the classic Apriori association rules,clustering algorithm,DT algorithm and other mining methods to analyze the financial data of the enterprise in a comprehensive way,which provides a useful financial information for the enterprise financial management department and senior management personnel,and it can assist the enterprise leaders to make quick decisions.The financial analysis system that is designed and implemented is based on data mining,including corporate finance management,asset inventory management,asset allocation management,asset depreciation and nuclear write-offs,asset data maintenance,etc.The enterprise financial management system is a combination of data mining technology,software engineering technology and enterprise financial management.Through the system management of enterprise financial data,it changes the original method and method of enterprise financial analysis,and provides an efficient,reliable and convenient way for the analysis of daily financial data of enterprises,which improves the core competitiveness of the enterprise to a certain extent and achieves the ultimate goal of system design.