The Research Of Data Mining Technology Application For The ABC Suzhou Branch Network Transformation

Banks of China is in the core position of the financial system, the banking industry spread tens of thousands of branches across the country to provide customers with various services, the service efficiency of the banking sector and the value creation ability directly affects the national economic development and stability and the national economic lifeline. With the rise of new branches theory and banking competition intensified, become the inevitable choice of banking network transformation, become the hot topic which the industry and the domestic network transformation, has become the bank competition and the development of a core topic, how to use network classification, functional partition, business service layer, product distribution to improve customer service and value creation ability, become the problem facing the front of the whole industry. Emerging information technology combined with statistical science, cognitive science, artificial intelligence, pattern recognition and the research direction of the subjects to develop the technology of data mining, are widely used in commercial retail, in various fields such as medicine, finance, operations. This article combines the network transformation theory and data mining technology research direction, with data mining technology in the agricultural bank of China suzhou branch WP branch transformation in the process of application for example, using the method of theory with practice, in-depth transformation of WP branch work, the empirical analysis, and reach the conclusion for the data mining technology has the positive role of effective network transformation, transformation and development in the site to be able to work in data analysis and knowledge discovery and decision support, and the function of financial intelligence.