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CPSC 354 - Introduction to Business Intelligence | ||
This course provides students with an understanding business intelligence which involves onversion 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; master data management (MDM) ; data warehouse models; conformance; star/snowflake dimensional models; online transaction processing (OLTP) ; online analytical processing (OLAP) ; effective data visualization (lead/lag key performance indicators, scorecards, dashboards, reports) , governance, success/failure factors, and emerging trends. Students apply the concepts in a term project using leading technologies and business intelligence tools.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam Precluded: COMM-354 Students cannot receive credit for the course being described and the course(s) listed as Precluded
COMM 351 Minimum Grade of C- or CPSC 324 Minimum Grade of C- or CPSC 351 Minimum Grade of C- |
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