DocumentCode
2247349
Title
Study on Model about Competitive Intelligence System of Enterprise Based on Data Mining under Electronic Commerce Environment
Author
Chen Ting ; Hou Kaihu ; Yu Kaichao
Author_Institution
Fac. of Mech. & Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming
Volume
1
fYear
2008
fDate
19-19 Dec. 2008
Firstpage
203
Lastpage
206
Abstract
Electronic Commerce (e-commerce or e-business) is the mainstream business model in the 21st century. The development of enterprises will face the brand-new choices and opportunities. Using data warehouse technology realizes subject-oriented data integration, and using data mining technology for competitive intelligence analysis can effectively resolve analysis, evaluation and forecast questions of competitors in the competitive intelligence system of enterprise, then help enterprises win the competitive advantage. Based on the analysis of the features of enterprise competitive intelligence under electronic commerce environment, this paper introduces competitive intelligence system and data mining technology, focused on the specific application of data mining technology in competitive intelligence system, presents a model about competitive intelligence system of enterprise based on data mining under electronic commerce environment. Due to the study of this paper, it will provide a reference for the construction and implementation of competitive intelligence system of enterprise based on data mining under electronic commerce environment.
Keywords
competitive intelligence; data mining; data warehouses; electronic commerce; business model; competitive intelligence analysis; competitive intelligence system; data mining technology; data warehouse technology; e-business; e-commerce; electronic commerce environment; enterprise competitive intelligence; subject-oriented data integration; Business; Competitive intelligence; Customer relationship management; Data mining; Data warehouses; Electronic commerce; Electronic mail; Information management; Seminars; Technology forecasting; competitive intelligence system; data mining; data warehouse; electronic commerce; model;
fLanguage
English
Publisher
ieee
Conference_Titel
Business and Information Management, 2008. ISBIM '08. International Seminar on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3560-9
Type
conf
DOI
10.1109/ISBIM.2008.75
Filename
5117464
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