DocumentCode
3374944
Title
Knowledge and Process Based Decision Support in Business Intelligence System
Author
Ou, Luan ; Peng, Hong
Author_Institution
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou
Volume
2
fYear
2006
fDate
20-24 June 2006
Firstpage
780
Lastpage
786
Abstract
As a kind of data-driven decision support systems, business intelligence tools focus too much on data and have low efficiency of decision making. Companies in today are more process-oriented than in the past and process-driven decision support system is emerging to help enterprises improve the speed and effectiveness of business operations. In order to provide the business intelligence system with the ability of process-driven decision making, we introduce the concept of business process management to the current business intelligence system. We add the process model component in our business intelligence model base. With the implementation of case-based reasoning and rule-based reasoning technology, the process models can be built and managed efficiently. In this paper we also provide a strategy for knowledge management in business intelligence system
Keywords
business data processing; case-based reasoning; competitive intelligence; decision making; decision support systems; knowledge management; business intelligence system; business process management; case-based reasoning; data-driven decision support system; knowledge management; process-driven decision making; rule-based reasoning technology; Companies; Data analysis; Data warehouses; Decision making; Decision support systems; Engines; Intelligent systems; Knowledge management; Mathematical model; Workflow management software;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location
Hanzhou, Zhejiang
Print_ISBN
0-7695-2581-4
Type
conf
DOI
10.1109/IMSCCS.2006.236
Filename
4673803
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