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Customer Relationship Management System Design And Implementation For Xbank

Posted on:2015-12-29Degree:MasterType:Thesis
Country:ChinaCandidate:Z H WenFull Text:PDF
GTID:2348330512470858Subject:Computer technology
Abstract/Summary:PDF Full Text Request
After our accession to the WTO,the pace of contacts with the international community has been sped up.Transformation of the global financial market and the market-oriented development of Chinese businesses have brought no small impact on China's domestic banks.On the other hand,the age of internet banking,which is characterized by the introduction of Zhifubao and Yu'ebao and other similar mobile payment platforms,is challenging the traditional banks.To survive this internet age,traditional banks needs to fully utilize their vast customer base and to further strengthen customer care.For traditional banks and the mobile payment platforms alike,the goal should be to seek a healthy competition and co-existence.Bank customer relationship systems use customer relationship management(CRM)core concept,strengthen communication with customers,timely and accurate analysis of the customer's needs,and to seize the hearts of customers,and to improve the bank's core competitiveness,but also to maintain the bank Continuing a powerful means of competitive advantage.This thesis describes the underlying concepts related to CRM,and uses data mining techniques to analyze customer data basic method,customers will be divided into:potential customers,clients and the general risk customers.For different types of customers with different needs,services should also differ,so as to reduce risk and improve returns.The main contents are as follows:(1)Customer Relationship Management.Application of the concept of customer relationship management system developed by the purpose of implementing the entire development process.(2)Data mining technology.The use of the technical idea of data mining and decision tree algorithm to analyze customer data,and data cleaning,integration,according to the classification of the different characteristics of the customer to determine the behavior of large customers.Reasonable arrangements for the sale of financial products and customer service,increase customer satisfaction,loyalty,and ultimately increase profitability of the bank.(3)UML modeling.The use of UML modeling on the banks customer relationship management system for detailed analysis and design,and the application of development tools to implement.(4)J2EE technology and the combination of SQL Server database platform to develop and implement banking customer relationship management system.Currently,the CRM system described here has already been implemented.The system boasts of a high level of security,high stability,high scalability,easy maintenance and compatibility among different operating systems.User feedback is generally positive so far.
Keywords/Search Tags:customer relationship management, CRM, data mining, decision tree algorithm, internet banking
PDF Full Text Request
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