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Data Mining and Business Intelligence - ITEC872

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 developing an awareness of what these technologies are currently capable of, rather than creating 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; and creating business intelligence tools.

Credit Points: 4
When Offered:

TBD - Not offered in the current year; next offering is to be determined

Staff Contact(s): Computing staff

COMP329 or STAT302 Prerequisite Information


Unit Designation(s):


Assessed As: Graded
Offered By:

Department of Computing

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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