Introduction to Business Intelligence

3 credits · Undergraduate

This course provides students with an understanding of business intelligence which involves conversion of mass data into effectively communicated information through visual, interactive media that enables evidence-based strategic decision making. Course topics include: data-extract- transform-load (ETL); data quality; MDM; data warehouse models; conformance; star or snowflake dimensional models; OLTP; OLAP; effective data visualization; governance; success or failure factors; and emerging trends. Students apply the concepts in a term project using leading technologies and business intelligence tools. Prerequisite(s): COMM 351-3 or CPSC 224-3 or CPSC 351-3 Preclusion(s): COMM 354-3