IMT 577
Business Intelligence Systems
Introduces fundamentals of how to architect and develop business intelligence systems for decision making. Topics include dimensional data modeling; extracting, transforming, and loading data (ETL); online analytical processing (OLAP); data warehouse architecture; developing data visualizations to answer key business questions. Prerequisite: IMT 576; recommended: students are expected to have basic relational database and SQL knowledge. IMT 543 is recommended for students without this knowledge.
Topics
- dimensional data modeling
- extracting
- transforming
- and loading data (ETL)
- online analytical processing (OLAP)
- data warehouse architecture
- developing data visualizations to answer key business questions
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Current public catalogue; retrieved 2026-11-05