Design And Implement Of Bank Customer Intelligent Analysis System

Under the favorable situation of the world economic integration and China’s financial industry opening to the outside world, the pressure on the domestic commercial banks is also increasing day by day. The state-owned commercial Banks in the customer service work has made no small achievement, but also there is a big disparity compared with foreign Banks. In order to meet the requirements for this competition, commercial bank is very necessary to shift focus to customer comes to work, also is to improve the quality of service, to provide customers with better service. With "customers as the center" to manage the different types of customer needs, in order to provide more targeted products and services to the customers, continuously improve customer satisfaction and the competitiveness of the bank. Some foreign large financial and banking institutions began to use this system to the analysis of different types of customer needs, and obtained good results. In at the same time, improve their market competitiveness and obtain great benefits from using this system. Thus it is necessary to refer to their experience, combined with the actual situation of our country, design and develop a set of such systems are studied.But in the current information technology rapid development situation,the customer data in growing, so the traditional data processing mode can meet customer data processing requirements. In order to effectively solve this problem, data mining techniques have been developed, the technology can efficiently from complex lots of customers dig out valuable information in original data, and better deal with the problem of customer information.Moreover, according to the actual use effect, this technique can significantly improve the ability of the banking customer relationship management, and enhance its market competitiveness. And data mining technology in this aspect has obvious advantages, so there are a lot of research on this technology, and touse its customer intelligence analysis, so that we can play a decision-making for the bank’s customer service support.This paper is to develop a set of bank customer intelligence analysis system, this system can effectively improve the ability of Banks to handle customer information, to provide customers with better service. Based on the research on the whole first related meaning and background of this system is introduced, then the user requirement analysis is carried out using a use case diagram. Next on the demand analysis and design on the basis of the background database of the system, overall architecture and the corresponding function module. And then realize the function of the system related modules,system test was performed at the same time, the system test results were analyzed. The system normal operation, the development goal smooth realization.According to the practical application results show that the design of this kind of customer intelligence analysis system according to different user needs,provide the corresponding request information, can significantly improve the efficiency of information processing, saving human resources, the development of more effective customer help business personnel. All the data information centralized management, but also can effectively avoid some mistakes and errors, greatly improve the utilization rate of the system and to improve customer satisfaction also to have certain positive role, bring great convenience for the customer service work. This system can also be convenient for in-depth analysis of customer data, and identify the potential needs of customers, in order to provide them with more targeted personalized service. To sum up, this system design research is imperative, in improving the commercial bank market competitiveness also has good effect, is of great significance to their long-term development.