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Design And Implementation Of Customer Relationship Management For Anshan Bank

Posted on:2016-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:T Y GeFull Text:PDF
GTID:2348330482967548Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the current rapid development of the industrial of banking, the customers have become the vital resource for the future of banking. Whether it is banking or any other industries, who mastered most of the clients, who will dominate the market, then can derive greater benefits. Traditional banking customer relationship management (CRM) systems, with their inefficient management, low economic benefits created, do not satisfy to the rapid development of computing services. The development of new bank CRM system which combines the modern computer technology and data mining is significantly necessary.Data mining in recent years has been successfully applied to various industries, such as retail, insurance, e-commerce. CRM system of bank can successfully collect and accumulate historical data and the current state of the customer. The simple CRM system is not enough helpful for the long-term growth and efficiency enhancing of the bank. How to use data mining techniques to drill out valuable knowledge from the existing data becomes the focus of development of banking CRM. Through the establishment of the database which contains customer information, bank product, customer's evaluation, and we can use data mining cluster analysis, classification analysis, association rules technology to realize the objective of grouping customers, further cross-selling products and personalized product customization.This article designed and implemented the CRM system of Anshan bank based on the application requirements for a new CRM. Based on the data of customers, products and the evaluation data from customers in Anshan bank, we designed a system contains modules such as system management, customer information management, product management, and data mining. System can easily manage the customer information and do data mining from these data, which can complete the customer grouping, product cross-selling, personalized product customization. The thesis firstly describes the background of bank CRM system research and development in China and abroad, then gives the detailed design and implementation about the above four modules, and ultimately achieves the CRM of Anshan bank based on data mining. The goal of this paper is implement the product cross-selling by data mining, which combined the banking analysis, customer grouping, customer consumption habits analysis. Tthe system has great practical value.
Keywords/Search Tags:CRM, Data mining, Customer Group, Cross-selling
PDF Full Text Request
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