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dc.contributor.authorLloyd, John
dc.date.accessioned2011-07-06T16:27:52Z
dc.date.available2011-07-06T16:27:52Z
dc.date.issued2011-02
dc.identifier.urihttp://hdl.handle.net/1794/11389
dc.description72 p. This paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu].en_US
dc.description.abstractBusiness intelligence systems by definition are used to create knowledge to enable business decision-making (Olszak & Ziemba, 2006). This study examines literature published between 2001 to 2010 and identifies the four most common components of a business intelligence system; ETL tools, data warehouses, OLAP techniques, and data-mining. Functions that each component performs are detailed. How each component is used to facilitate managerial decision-making at three levels of organizational management (operational, tactical and strategic) is described.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesAIM Capstone 2011;John Lloyd
dc.subjectBusiness intelligence systemsen_US
dc.subjectOLAP
dc.subjectETL
dc.subjectData mining
dc.subjectData warehousing
dc.subjectDecision making
dc.subjectApplied Information Management
dc.subjectAIM
dc.subjectData
dc.titleIdentifying Key Components of Business Intelligence Systems and Their Role in Managerial Decision Makingen_US
dc.typeOtheren_US


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