The purpose of this research is to introduce the analysis procedure of data mining into the corporate credit rating model and to use the financial variable and the economic variable to create a credit evaluation model that aimed at the risk exposed in the corporations. The credit evaluation is based on the guidance set forth by the New Basel Capital Accord and the Standard of Financial Supervisory Commission. After the final evaluation of the model, the study decided to use the Logistic Regression model. The credit rating system is categorized into eight levels where the eighth level has the highest probability of being default. The resulting model formulated by this study exhibits stability and predictive capability that is within the accordance of the New Basel Accord and the Standard of Financial Supervisory Commission and has demonstrated its ability for its application in a real case in the corporations.