Nov 27, 2020
MIS 460 - Applied Business Analytics
Application of business intelligence tools and techniques to retrieve and analyze data and implement business decisions in a dynamic simulated environment. Employs leading industry based enterprise management, business intelligence tools and simulations. Course will be offered every year. Course will not have an established scheduling pattern.
Prerequisites: (MIS 386 with a minimum grade of C AND admission to a college of business major) AND completion of the college of business foundation courses (ACCT 251 and ACCT 252 and BUS 221 and BUS 241 and MATH 153 or MATH 154 or MATH 170 or MATH 172 or MATH 173 and ECON 201) with a minimum C- grade in each course and a minimum collegiate GPA of 2.25) OR (MIS 386 with a minimum grade of C AND declaration of any minor or certificate offered through the College of Business); OR (MIS 386 with a minimum grade of C AND admission to the Integrated Energy Management Program) OR (MIS 320 with a minimum grade of C and declaration of any minor or certificate offered through the College of Business).
Upon successful completion of this course, the student will be able to:
Learner Outcomes Approval Date:
- Discuss the role of data in supporting management decision making.
- Apply the fundamentals of data mining technologies to common business decisions.
- Prepare a data mining application using industry-based enterprise management system.
- Distinguish among the various data warehousing models.
- Create a series of data analysis to address specific business decisions related to management, marketing, manufacturing, supply chain, finance, accounting and human resources.
- Create a series of performance dashboards and employ the dashboards to evaluate performance, assess options and apply changes to improve performance in a simulated environment.
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