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Research And Development Of Customer Relationship Management System

Posted on:2005-04-13Degree:MasterType:Thesis
Country:ChinaCandidate:P JiangFull Text:PDF
GTID:2208360125953779Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
In this paper, the analysis and researches of Customer Relationship Management (CRM) theories and method is performed, Currently, the integration of customer relationship management CRM and electronic commerce EC, decision support system DSS is less applied. Particularly, the application in the food profession of concrete physically combine together is few. This paper has been considered synthetically and argued in many ways. After that, the author point out a structure system of mixing model of C/S and B/S. This structure is a truss with many floors. It consists of expression floor, commerce logic floor, analyzing floor, data memorizing floor, and supporting floor and so on. So it is able to satisfy the need consumers, reduce isolation of messages, and make the messages integrated. Based on this structure, the physical database model of integration, concluding 32 tables and memorizing process, is designed. A system function model is also built up with such seven modules as consumer management, service and supporting management, commerce stage management, analyzing management on line, distribution forecast analyzing and standard door. The design and code of the modules, the debugging have been finished.The Design of Business Site is complete in function, and it is conveniently used, and it has been run tentative.Online Analytical Processing(OLAP) is the key of CRM system, which set up data warehouse and analytic model aiming at consumers' requirement, and the analytic result is obtained.Sale prediction and analysis is the business intelligence part of CRM system. The methods of Time Sequence and Regression Analysis are used to set up predict model based on the result of statistic, and this can be used to predict Sale account.
Keywords/Search Tags:Customer Relationship Management (CRM), Electronic Commerce Web Site, Database (DB), Model Base (MB), Sale Predict (SP)
PDF Full Text Request
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