Data Analysis For The Banking System, The Design And Realization

China's entrance into WTO and a further opening in the financial field have brought out an increasingly keen competition in the financial industry and have then established a higher requirement for informationization. And at the same time, the IT construction undergoing many years in China's financial industries has been changing from data concentration into application integration and financial innovation. What is commonly seen, nevertheless, in the aspect of data management and application in the financial industries is that, though they have gathered a large sea of data, they are still short of measures and tools for discovering the information hiding in the data they have and that, therefore, they can not see clearly the relationship and business law existing in the data, much less predict the future business development by using the data.Just in the meanwhile, the worldwide foreign financial industries have been widely employing data mining technology and have already gained advantage through inside-industry competition and have innovated their financial services and products on the basis of their original business. Consequently, China's financial industries are about to be faced with a fierce and severe assault from their powerful competitive opponents. It will be more profitable and more significant, clearly, to realize the informationization both of arrangement of the client resources and of interaction with the client.This essay, through collecting and analysing the data from the information systems of financial industry on the basis of studying multi-data mining technique, releases the designing idea of combining datamining with the J2EE technique, that is, re-arranging several data sources, running separately at the same, into enterprise-level data house ware. Also, this essay is trying to probe the principles and relations functioning in the above combination process and to set up a multi-function module for practical analysis and prediction, in order to support the construction of high-efficient and exact trading tragedy of financial industry as well as, meantime, to prevent the trading risk the financial industry faces and open up financial services market for more profit.With the intranet established inside financial industry and internet technology, the data mining and data analysis have been realized by applying the J2EE EJB interware on the B/S structure. The objectives is constructing on the basis of Data WareHouse, the module of analysis and prediction of clients, risk management, market and etc, and testing the supporting function of DataMining in decision-making process related to these applicable systems.In the designing of system, the analysis for the Object-Oriented and modeling in UML have been practiced and applying J2EE and DataMining, based on it, the construction of system has been finished.