Application of Bayesian Network in Improving Customer Credit Precision

In order to make CRM more effectively, we need to classify the customer and to realize the personalized service, so we can promote the customer satisfaction and the loyalty, analyze and appraisal the credit is an important step. In the traditional method, the customer credit evaluation precision is insufficient, which causes the enterprise into a dilemma situation. In view of this problem, this article proposed using data mining technology Bayesian network model increases the customer credit forecast precision. This method union prior knowledge and latter information, using the Bayesian network model to mine the credit concealed information, which realizes perfect forecast for the customer credit. The enterprises can use this forecasting result to complete the operating decisions, wins more customers for the enterprise, enhance competitive advantage.