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.identifier.uri |
http://hdl.handle.net/1794/11389 |
|
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.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 |