In the daily work of electric power marketing, for all kinds of risks in the electric power marketing business to carry out systematic sorting and in-depth analysis, can effectively reduce the production and operation risks of electric power enterprises. At present, power companies still use more traditional power marketing model, the lack of lean analysis of business data and business risk control, enterprise production and operation there are more problems. For example, in terms of management, the current management system and management level is relatively backward. Electricity marketing work directly affects the operating efficiency of electric power enterprises, and the abovementioned issues have increased the operating risks of electric power enterprises to a certain extent, bringing more uncontrollable factors to the production and operation of electric power enterprises. For the current situation of power marketing risk control work, this paper uses AHP hierarchical analysis and power data to analyze business users. By constructing the judgment matrix and calculating the affiliation degree, the credit scoring rating system of enterprise users is built and a new credit management model for enterprise users is proposed. The experimental results show that our method can effectively evaluate the credit of corporate users.