Linking Decision Artifacts: A Means for Integrating Business Intelligence and Knowledge Management
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Keywords: collaborative business intelligence, Arizona Analyst Information System, knowledge artifacts, decision tracking, business process integration, decision-idAbstract
Abstract: With the ability to capture ever more artifacts that trigger, substantiate, and document decisions, it has become imperative to integrate multiple streams of information from information systems/business intelligence (BI), content management, and other collaboration and knowledge management (KM) systems. This paper argues that this can be accomplished by creating a DECISION‑ID that links together evidence and decision at various levels of aggregation for use and reuse in subsequent decisions. Illustration of how this may work in part is based on a case study of The MOSAIC Group at The University of Arizona, which conducted research in international computing using a KM system called the AAIS. Organizations that embrace concepts of pre‑codification and clustering of artifacts related to decisions may achieve superior performance in the future.Downloads
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