2010 Course Handbook
ITEC872: Data Mining and Business Intelligence
The aim of this unit is to show where data warehouse and business intelligence technologies are at in this point in time so that business managers know what is possible for their next business strategy. As such this unit is primarily concerned with awareness of what these technologies are currently capable of, rather than create business intelligence developers. The unit will follow a typical lifecycle of a data warehouse/business intelligence project, involving the following broad phases: extraction transformation and loading data from source systems; building OLAP cubes - once the preserve of elite analysts, OLAP is quickly becoming a ubiquitous technology; data mining - once the preserve of the Fortune 100 companies, it is now a commodity technology available to all; creating business intelligence tools.
| Credit Points: | 4 |
| Contact Hours: | -- |
| When Offered: | E2 - Evening; Offered in the second half-year |
| Staff Contact: | Computing staff |
| Prerequisites: | |
| Corequisites: | |
| NCCWs: | |
| Unit Designations: | -- |
| Assessed As: | Graded |
| Offered By: |
Department of Computing Faculty of Science |