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Cigarette Marketing Assisted Decision Support System Design And Implementation

Posted on:2010-08-07Degree:MasterType:Thesis
Country:ChinaCandidate:H ZhouFull Text:PDF
GTID:2208360308966543Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the China joined the WTO, the tobacco industry faces aggravating competition. In order to enhance the level of cigarette marketing, many companies have established several management information systems, such as tobacco sales systems, customer relationship management systems, and Tobacco Monopoly management systems. Although each system can fulfill their daily business processing needs, it is difficult to meet the requirements of modern tobacco marketing management, because the inconsistencies between the data, the nonintegrated data environment, the poor communication between the various information systems, and the poor information sharing. Thus, the thesis put forward a cigarette marketing decision support system to resolve these problems.Based on the present research and overview of relevant theory, the thesis made an overall design of the system which combines the business needs of cigarette maketing information. We gave some analysis and instructions of the key technologies of the system, and constructed the system's main function. In database design and management, we extract, transformate, filter and load the source data, then analyze the data through OLAP to carry out data mining, find out shared knowledge, and optimiz the system's logical structure and physical implementation. In system implementation, the cigarette industry marketing experience and data mining methods were closely integrated, which fully reflect the applicability of the system.The thesis relies on Liupanshui tobacco company's cigarette marketing information system project, using data mining and business intelligence technology to build cigarette marketing decision support system, which has been successfully applied in practice.
Keywords/Search Tags:Cigarette marketing, Data warehouse, OLAP, Decision support
PDF Full Text Request
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