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2022 September Semester
Jul 05, 2022
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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
Information

Green prerequisites must be completed before registering in this course

Red prerequisites can be taken concurrently with this course

Magenta co-requisites must be taken at the same time as this course

Prerequisites:
COMM 351 Minimum Grade of C- or CPSC 324 Minimum Grade of C- or CPSC 351 Minimum Grade of C-

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