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The Design And Implementation Of Telecom Customer Data Analysis System

Posted on:2013-06-21Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2248330374999369Subject:Software engineering
Abstract/Summary:PDF Full Text Request
This paper analyzes the aim and significance of telecom customer data analysis system, which is to build the unified view of user, centralize the way of information acquisition, establish the customer feature research mechanism, deepen the data analysis of telecom customer, support the fluent business process, and to realize the loop-locked analysis result application.The system mainly uses the UML2analysis method to accomplish the basic construction, including requirements, design, and coding etc. It also a solid foundation for the whole project build.This design mostly applies the metadata configuration mode to realize the flexible change of display, logic, and data access, with no need for recoding. All of the data item composition, business characteristics definition, label definition, and user community definition in this system are based on metadata. The idea of MDA(Metadata Driven Architecture) reduces the workload and difficulty to the secondary development of system, and also enhances the flexibility to response of requirements. This kind of design can offer much more useful data to the user, faster response to the privilege control of the BI(Business Intelligence) system, and ensure the data to store in safety according to the operating frequency and information attribute tables.The telecom customer data analysis system has three abilities, which are rapid analyzing ability, flexible insight capacity, and high scalability.Firstly, the rapid analyzing ability reflected in the stored in more tables(designed according to the operating frequency and business, improved the query efficiency), and semantic layer (easily understood, shielding the obscure technology language to the business person).Secondly, the flexible insight capacity means the adroit design (can produce the user communities on the basis of the attributes, business characteristics, labels, and customers, and generate the recycling analysis results), and balance of usability (humanized display technology).In the end, the practice of MDA show the high scalability, all of the business characteristics, label definition, and user community definition in this system are based on metadata.
Keywords/Search Tags:Target Customers, Ad hoc queries, Data Analysis, Metadata
PDF Full Text Request
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