MIS 460 - Applied Business Analytics

Description:
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.

Prerequisites:
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 business minor or certificate); OR (MIS 386 with a minimum grade of C AND admission to the Integrated Energy Management Program).

Credits: (5)

Learner Outcomes, Activities and Assessments

Learner Outcome	Activity (optional)	Assessment
Discuss the role of data in supporting management decision making		Presentation, Examination, Assignments
Apply the fundamentals of data mining technologies to common business decisions.		Assignments, competitive simulations and case analysis.
Prepare a data mining application using industry-based enterprise management system.		Assignments
Distinguish among the various data warehousing models.		Examinations and assignments
Create a series of data analysis to address specific business decisions related to management, marketing, manufacturing, supply chain, finance, accounting and human resources.		Assignments, competitive simulations and case analysis.
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.		Assignments, competitive simulations and case analysis.