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
Link To Document :
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