KM MEETS BUSINESS INTELLIGENCE

Business intelligence (BI) and knowledge management (KM) have had little to do with each other in the past. Business intelligence incorporates such previous concepts as decision support, executive information systems, data warehousing, and data mining -- but not knowledge management. Knowledge manag...

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Bibliographic Details
Published inKnowledge Management Review Vol. 8; no. 6; p. 10
Main Authors Seeley, Charles P, Davenport, Thomas H
Format Trade Publication Article
LanguageEnglish
Published Chicago MELCRUM PUBLISHING 01.01.2006
Subjects
Business intelligence
Case studies
Competitive intelligence
Customer relationship management
Decision making
Executive information systems
Integrated approach
Knowledge management
Manufacturing
Semiconductors
United States > US
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Summary:Business intelligence (BI) and knowledge management (KM) have had little to do with each other in the past. Business intelligence incorporates such previous concepts as decision support, executive information systems, data warehousing, and data mining -- but not knowledge management. Knowledge management, on the other hand, focuses on the capture, sharing and distribution of unstructured textual and graphic information -- as opposed to the structured, quantitative orientation of business intelligence. Despite their historical differences, there are a variety of attributes that these two movements have in common, and strong logic behind a more combined approach. Perhaps the strongest argument for a common BI/KM approach is that the user often does not care about the distinction between them. The Intel TMG environment is clearly one in which the customer or user is provided with BI and KM in an integrated fashion. It is an excellent illustration of the productivity and performance benefits that result from integrating these two formerly separate approaches.
ISSN:1369-7633