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Study on a Architecture-Oriented Business Intelligence Software

The global economic environment nowadays becomes so competitive, all enterprises suffer a challenging and confronting adversity. Due to the knowledge economy era, all enterprises need to emphasize the internal information management and application. Therefore, the Business Intelligent (BI) software turns into the best solution for an enterprise. As each enterprise has different structure and behavior views, the BI definition is required to adapt to the enterprise environment. To resolve this problem, an enterprise must increase the business cost, and system managers are demanded to modify the programs repeatedly.
Our research aims to assist the BI software by defining a model of Architecture-Oriented Business Intelligent (AOBI) which helps analyze and design the software with ease. The AOBI model is to describe the structure and behavior in one unity. Using this approach of structure and behavior in one unity, developers would devise and adjust the BI software more flexible and adaptable.
This study distinguishes into three parts. The first part is to introduce the architecture theory. The second part is to explain how to build up an architecture model. The third part is to propose an AOBI model. Inside the thesis, BI structure elements, operations, and structure and behavior in one unity are elaborated. Also, using AOBI model assists system developers to construct the BI software for an enterprise. In the future, we would further our efforts on the implementation, testing, cost and performance management of the AOBI software. The BI software contains other software, for example, Key Performance Indicator, Data Warehouse, Data Mart, Data Mining and On-line analysis processing, etc. We may construct the above software using the architecture model, too.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0122107-161732
Date22 January 2007
CreatorsChen, Shih-Hsiung
ContributorsWilliam S. Chao, Jau-Hwang Wang, Jian-Liang Chen
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0122107-161732
Rightsnot_available, Copyright information available at source archive

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