Enterprise Analytics

Enterprise Analytics

BDAT 1009

Enterprise analytics focus on the effective use of data and information to help organizations make quality decisions. Evidence-based decision making requires large amounts of high quality data to accurately reflect on past experiences and predict trends and future needs. Utilizing different analytical methodologies, students learn how descriptive, predictive, and prescriptive analytics can be applied to a variety of industries such as commerce, finance, health care, marketing, supply chain, retail, and transportation. Ultimately, students develop a Performance Evaluation Framework for their topic of choice that replicates that of actual industry scorecards.

Credits

3

Course Hours

42

Students registering for credit courses for the first time must declare a program at the point of registration. Declaring a program does not necessarily mean students must complete a program, individual courses may be taken for skill improvement and upgrading.

Contact coned@georgiancollege.ca or call 705.722.5149 for more information.