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Credit sale acts a very important role in the operation of one company. Nowadays, in order to reduce the credit risks, ensure the benefits of companies, and communicate effectively with the customers, analysis of customerspsila credit has become a very popular research question. In this paper, the author develops a credit evaluation model for medicament enterprise based on data mining methods clustering and neural network. By using this model, a company can predict that if the customer will default of contract.