Identifying Key Components of Business Intelligence Systems and Their Role in Managerial Decision Making
| dc.contributor.author | Lloyd, John | |
| dc.date.accessioned | 2011-07-06T16:27:52Z | |
| dc.date.available | 2011-07-06T16:27:52Z | |
| dc.date.issued | 2011-02 | |
| dc.description | 72 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.abstract | Business 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.identifier.uri | https://hdl.handle.net/1794/11389 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | AIM Capstone 2011;John Lloyd | |
| dc.subject | Business intelligence systems | en_US |
| dc.subject | OLAP | |
| dc.subject | ETL | |
| dc.subject | Data mining | |
| dc.subject | Data warehousing | |
| dc.subject | Decision making | |
| dc.subject | Applied Information Management | |
| dc.subject | AIM | |
| dc.subject | Data | |
| dc.title | Identifying Key Components of Business Intelligence Systems and Their Role in Managerial Decision Making | en_US |
| dc.type | Other | en_US |