Development And Design Of Customer Relationship Management System Based On Web

With the development of information technology, the corporation pay more and more attention and capital to Customer Relationship Management, the development of CRMS(Customer Relationship Management System) is more perfect than ever.CRM, namely Customer Relationship Management, the meaning is through the significative communication, the enterprise understand and influence the act of the Customer, finally realize the customer gaining, customer holding, customer faith, customer profit, In a word.it' s target is to realize personality service.lt stress the customer as center, all the work of enterprise is surrounding customer. CRM' s core content is mainly to improve the automazation extent of every tache, to cut distribution period, to recede distribution cost, to enlarge distribution quantity, to increase earning more profit, to grab move market, to seek new market chance and distribution channel, through uninterrupted reforming the operative flow in customer relationship, such as distribution and customer service, it' s final target is to improve enterprise kernel competition, and to remain invincible in ardent competition circumstance. Before starting this paper ,We survey a corp to confirm the CRM operation flow. This paper introduce the concept, architecture, elements of Web services technology, base on review and expectation to information manage system, then combines them and builds an customer relationship manage system based on Web services technology in .NET platform, give the division of system-module and the system structure, the method of database design and introduces the realization of some key technology. At present this system has a good function, and the corp give us a best comment. At the same time, the paper put forwords a method of applying Data Mining technology to CRM and adopting data classification to discover distribution regularities of products andcharacteristics of customers from information in database of CRM. The definition and methods of data classification are discussed, and algorithms of decision tree and naive Bayes classification are introduced. The algorithms of decision tree is applied to discover potential customer, and the naive Bayes classification is applied to forecast customer. At the same time, we improve the ID3 arithmetic based on practice.