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Application And Research Of BI For CMSS

Posted on:2005-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:T CengFull Text:PDF
GTID:2168360152955173Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
The technical progress and the development of information technology bring the world into a unprecedented globalization time. In the future, if a enterprise wants to survive himself in the intense competition, he has to be able to look over the history and fasts to see clearly the future tendency thus to make the decision-making. The fast decision-making came from the correct full analysis to the market, the customer, the enterprise marketing condition and so on. However the old operation support system can not be competent for this task, only the BI base on Data Warehouse (DW) will do it well.BI is a new technology, which makes integrative use of DW, On-Line Analytical Processing (OLAP), Data Mining (DM) and so on. Via BI, we can transform raw data into usable information and knowledge.In the light of the software engineering thought,this article, based on the actual project of Customer Manager Support System (CMSS), proposed one kind of feasible flexible and light technology of establishing BI, which applied to the CMSS successfully, and gave some new tentative and creative ideas.The article has first made a comprehensive summary to the BI, explained the BI's several cores technology: DW, Data Mart, OLAP and DM,. Then this paper has given detailed requirements analysis to a CMSS, and has listed the function and the module which in the system the BI should complete. The requirements analysis has carried on the analysis of system, the design of blue print, and the choice of system pattern. The thesis shows the fundational principle and method through the question-answer way to develop a general application of BI. Adapting to these principle and method, we realized the system and satisfied the requirements analysis. At the rear end, this paper demonstrates the partial system design and realization and some graphic or table example. Finally, the article summarized some main point about the implementation of this project, reiterated the fact that ETL and meta-data is essential to BI.
Keywords/Search Tags:Business Intelligence (BI), Data Warehouse (DW), Online Analytical Processing (OLAP), Software Engineering
PDF Full Text Request
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