IT 7123 Business Intelligence

Course Overview

Course Description

This course introduces the concepts, practices, technologies and systems of business intelligence and analytics, which supports data driven insights generation and decision making. The complete process of BI and analytics is covered, from data gathering, modeling, analysis, reporting, and visualization.

Business intelligence systems have been widely adopted and implemented in today's enterprise environments due to growing amount of data and increasing need for data analytical processing. The IT 6733 course focuses more on general database administration but is limited on some parts of data modeling, integration, analysis, and visualization. This course is aimed to complement that by focusing analytical processing technologies and applications.

Program Association

This course is a required course for our Data Management and Analytics Certificate, and Data Management and Analytics Track in MSIT.

Course Offerings

Scheduled Offering: Fall Even, Summer Odd, Fall Odd, Spring Even - refer to the complete IT courses schedule plan

Recent offerings and enrollments Fall 2021: 10+25; Spring 2020: 13

Course Content and Materials

Course Website

IT 6713 Business Intelligence

Open Access of Learing Materials - Affordable Learning Georgia

This course is part of the Affordable Learning Georgia Textbook Transformation Grants which aim to lower the cost of learning materials. The course has been awarded the following grants to develop no cost learning materials.

The first lecture on BI and Analytics Overview

View and download the lecture notes on ResearchGate or Edocr.

"Kennesaw State University professor Jack Zheng's concise, content-rich introduction to BI may be the best free comprehensive intro I've seen online. You're basically getting the first-day lecture from one of his college courses. If you were to break the course's cost down by classes, you'd probably be getting about $1-200 dollars' worth of information, just by clicking above." From

Past course highlights