To gain or maintain their competitive edge, more than ever before, organisations need to rely on high-quality information to support decision making processes at all organizational levels. Business Intelligence (BI) is now being recognized as one of the top business priorities world-wide. While in the past, the term BI was used to describe a very broad range of software applications, the latest thinking in this field emphasises IS support for human intelligence, in the context of business decision making. In this unit students learn how BI helps information discovery and how to analyse multidimensional data. Students gain hands-on experience in using a commercial BI platform. These practical skills, combined with in-depth analytical skills enable students to assist any organization (regardless of its size and industry domain) to derive more intelligence from its data, improve its performance and ultimately, compete on analytics. Issues are explored from the business rather than the technology perspective. This unit does not require prior programming experience.
1x 3hr seminar per week
tutorial work (10%), midsession exam (30%), practical assignment (30%), final exam (30%)
INFS1000 or INFO1000 or INFO1003 or INFO1903