Application of attribute reduction algorithm based on rough set in financial management of commercial banks

In this paper, we use the attribute reduction algorithm of rough set to analyze the sample data of the annual balance of the residents in commercial banks. Through the analysis of the sample data, we get different customer categories. For different customers, we develop different financial products. On the one hand, it meets the needs of customers; on the other hand, it increases the profitability of commercial banks, so as to realize the new idea of ‘guided by data’.