With the development of economic and social development bank is also faster and faster, more and more bank customers. Currently in Yongchun rural credit cooperatives bank’s customer management,management system uses a stand-alone version of the main system, and with the continuous expansion of the banking business, the need to manage the customer’s business and information is also increasing. The current stand-alone customer management system can not meet the data sharing, real-time delivery, global statistics and other functions, so the construction of a management system based on bank clients Applied B / S structure becomes increasingly important.Taking Yongchun rural credit cooperatives bank customer relationship management system for the study, first analyzes the status quo of customer relationship management, to determine the specific implementation of the function of this system, which set out specific requirements. Then according to these detailed requirements the system design, including system function design, system architecture design,network structure design, database structure design and so on. Finally,based on the contents of the system design, using a variety of techniques and methods to realize them. By a variety of techniques to achieve them.The system will use advanced architectural approach, based on industry popular B / S three-tier structure, the use of distributed, mongo DB,WEBService core technology of the system.This system is mainly to complete system management, customer management, credit management, credit rating, arrears management,basic settings, the early warning management, interface system and other functional modules. The system is completed by a module, basically meet the management of the bank to the customer relationship, and according to the customer’s credit evaluation of the enterprise, the enterprise’soverdraft limit. After the system is completed, it is possible to complete the efficient, fast and accurate customer relationship management aspects related to work to reduce operating costs, improve efficiency, reduce the rate of bad debts. |