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2020 May Semester
May 27, 2020
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COMM 354 - Introduction to Business Intelligence
Business intelligence 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; 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. The 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


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 D- or CPSC 324 Minimum Grade of D- or CPSC 351 Minimum Grade of D-

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