With the development of information and computer technology, various types of enterprises in the market competition is an important change, this change depending on the powerful information processing ability, but also changes the enterprise’s own management mode. In the current domestic commercial banks internal, change began to various management decision, the importance of commercial banks are increasingly aware of the use of information technology to improve enterprise decision-making level. After obtained the demand decision results by information calculation, and its use in the management in the course of daily, the realization of enterprise efficiency. In the commercial bank credit decision-making process, decision-making is a very important link, is also the most complex process, decision makers by commercial banks is very important to realize the credit business decision support information technology. So, how to more effectively through the realization of the commercial bank credit decision support information technology, is the focus of this paper.This thesis, through to the domestic rural commercial bank credit business as the research object, by means of data mining, OLAP and data warehouse technology, the decision support system is studied. Based on the in-depth research on rural commercial bank credit and business, put forward feasibility analysis and the demand of decision support prototype system; main data and then for the credit business needs analysis, including credit products ABC classification data, related product data, customer demand data, and determines the basic model credit indicators issued; after the basic steps in data mining, establishment of conceptual model, logical model and physical model design and data warehouse for the system realization of data warehouse needs; finally, taking Delphi XE2as the development language, according to the implementation and testing requirements of the credit decision, the system of data acquisition, data display and other comprehensive the.The thesis, has important significance for promoting the rural commercial bank credit decision level.Key Words:Data warehousing, online analytical processing, data mining, materials distribution, decision-making, and for improving the status of rural commercial bank credit business in a certain extent, ensure the market conditions permit, as far as possible to reduce decision mistakes, thereby reducing the cost of the credit business of commercial banks has a positive significance.22figures,8tables,2Formula,60references.