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The current existing banking system, is designed for special operations, a large amount of business data, but that does not need direct business information to support decision-making, resulting in a "complex data, the lack of information". Managers need to be a powerful tool to classify the data, combined, draw conclusions, finishing, as well as deeper analysis of the data and finally get the information needed for decision-making.For information on the existence of the various isomers of the traditional database and data warehouse technology is the integration of data is an effective way. With the data warehouse, OLAP technology and data mining technology to gradually mature, in order to achieve the decision support system provides technical support. However, building an enterprise data warehouse is a complex project, according to the data warehouse features and functions, as well as modular design, multi-dimensional data analysis is the main decision-making information technology, multi-dimensional characteristics of the data warehouse To meet the decision support system from the perspective of a variety of data fast, interactive analysis and decision support system to overcome the traditional cross the drawbacks of the poor, so that decision-makers to in-depth analysis of the data.Data warehouse technology, on-line analytical processing and data mining tool as a means to implement the scientific management of the bank information is a more reasonable solution.Based on the subject of the bank information management requirements of the system have analyzed the function of the design blueprint. Through ETL, integration to build a comprehensive data warehouse, data warehouse to describe, model design and build process, data cleansing, and so the process of integration, information for the scientific management, decision support full implementation of the provision of technical ideas.Can provide data in the bank sector following the rapid sharing of information to break the pattern of the island. The use of on-line analysis, statistical statements, such as data mining technology, the development of information decision support system, so that the scientific decision-making, intelligence, meet the needs for modernization of information management.
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