基于数据挖掘的农村信用社客户管理系统的设计与实现

发布时间：2018-06-08 00:08

本文选题：客户管理系统 + 数据挖掘　；参考：《北京工业大学》2015年硕士论文

【摘要】：农村信用社的客户管理系统是管理和统筹银行业务,客户等信息的主要信息系统,目前农村信用社做为我国最基层的货币管理行业,由于它的自身原因,使它的发展相对落后,因此利用数据挖掘技术开发一套客户管理系统对其的发展将有很大的帮助。随着银行业的不断发展,如何争取优质客户是银行迫切需要解决的主要问题之一;数据挖掘技术,可以从海量的客户信息中发现客户的特点,并将客户进行分类,从而可以获得更多更优质的客户资源。基于银行业的发展需要,数据挖掘技术的这种特点,建立基于数据挖掘的农村信用社客户管理系统。本文以农村信用社为背景,首先分析数据挖掘、CRM在国内和国外的现状、研究及发展趋势,其次对当前应用相对成熟的数据挖掘技术、CRM理论、和论文应用的开发工具进行概述。基于以上的学习和分析,本论文罗列出了农村信用社客户管理系统的实现目标。然后本论文采用Java语言,B/S架构就农村信用社客户管理系统所有实现的核心模块进行需求分析,设计和界面实现。基于数据挖掘的农村信用社客户管理系统的使用,客户数据可以得到定性、定量的分析,客户变化的特点就可以被农信社的各级管理人员及时、准确的掌握,并挖掘客户资源,通过对客户的分类管理,针对不同客户类型制定其适合的营销策略、从而可以牢牢抓住客户,并可以降低成本、提升经济效益,农村信用社也因此提高其在市场上的竞争力。
[Abstract]:The customer management system of rural credit cooperatives is the main information system for managing and coordinating banking business, customers and other information. At present, rural credit cooperatives as the most basic monetary management industry in China, because of its own reasons, make its development relatively backward. Therefore, using data mining technology to develop a customer management system will be of great help to its development. With the continuous development of the banking industry, how to strive for high quality customers is one of the main problems that banks urgently need to solve. Data mining technology can find the characteristics of customers from a large amount of customer information, and classify customers. Thus can obtain more and more high-quality customer resources. Based on the development needs of the banking industry and the characteristics of data mining technology, the customer management system of rural credit cooperatives based on data mining is established. Based on the background of rural credit cooperatives, this paper first analyzes the current situation, research and development trend of data mining CRM in China and abroad, and then summarizes the theory of CRM and the development tools applied in this paper. Based on the above study and analysis, this paper lists the realization goals of rural credit cooperatives customer management system. Then this paper uses Java language / B / S architecture to analyze, design and implement all the core modules of rural credit cooperative customer management system. The use of the customer management system of rural credit cooperatives based on data mining, customer data can be qualitatively and quantitatively analyzed, and the characteristics of customer changes can be grasped timely and accurately by the managers of rural credit cooperatives at all levels, and the customer resources can be mined. Through the classified management of customers, we can make appropriate marketing strategies for different types of customers, so that we can firmly grasp customers, reduce costs and enhance economic efficiency, so rural credit cooperatives can also improve their competitiveness in the market.
【学位授予单位】：北京工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52;TP311.13

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