A Study About Construction Of Enterprise Financial Diagnostic Process Model Based On Data Mining

In a modern enterprises under the background of informatization, enterprise of productional management has accumulated a lot of financial data since some years, and we combine with related data analysis to diagnose the whole financial situation and operational results. the traditional financial diagnosis methods of enterprise has some inevitable shortcomings, for example,time-consuming, subjectivity. which use traditional statistical methods or financial methods, we only analyze a small amount of financial information from financial data, it is difficult to deal with and analyze financial data and other information which the enterprise have accumulated for many years of. Traditional financial diagnosis methods of enterprise are susceptible to the influence of the accounting policy choice, there are serious hysteresis and one-sidedness and limitations.If enterprises dig out the useful information from the accumulation of a large number of financial data, it will be apply to an efficient financial data analysis and data mining technology, which can dig out hidden significance from a large amount of data, and found that the correlation between them. Because the data mining technology has powerful search and analysis function, so this technology is widely applied in the field of financial management. the information which we obtained from Using the analysis of the data mining technology is very useful in the process of financial management. the data digged out by data mining technology, in a sense, is a kind of great and valuable information to the financial management, according to these information, the enterprise can dig out the hidden behind a large number of data, and use these data to construct financial diagnostic analysis model, and help enterprises resolve the actual financial problems in the process of production and business operation. The research content of this article is discussing effective integration be between with some methods of data mining and enterprise financial diagnosis. we can obtain diagnostic data from the whole or special analysis and combine with some methods of data mining in the process of Enterprises of financial diagnosis. On the basis of these data, financial diagnosis model is established. this financial diagnostic model is applied to the actual situation of enterprise, in order to determine the effectiveness and practicability of this model.The process of financial diagnosis of enterprise be divided into three part of the process by this paper, including process of data collection, financial diagnosis of the construction of the data mining model, financial diagnostic report. this paper introduces some relevant theories and different methods of data mining, and systematically expounds the application of these methods in financial diagnostic process. This paper use F enterprise financial statement data of six years as a data basis of financial diagnosis. The SPSS19.0 software is as a platform for the research and analysis, this aticle use data mining methods, including the cluster analysis, factor analysis, decision tree, and combine with the Z value of comprehensive evaluation method for analysis of financial situation and make research and application of enterprise financial diagnostic process based on data mining in order to construct practical, intelligent, high efficiency of enterprise financial diagnostic model. Testing the model, and put forward measures and suggestions.