ISMG 6220 - Business Intelligence Systems and Analytics

The course is organized around three types and enablers of business intelligence and analytics (1) Descriptive analytics including data warehousing, business reporting, decision dashboard/ scorecards, visual analytics, (2) Predictive analytics including Web Analytics, Web Mining and Social media Analytics, and (3) Prescriptive analytics including decision analytics, automated decision support and expert systems, and big data analytics. The course concludes with emerging trends and topics in business analytics including geospatial in analytics, location-based and consumer-oriented analytical applications, mobile platforms, and cloud-based analytics. Hands-on experience is provided through the use of MicroStrategy, SAS, and CORVID software. The recommended prerequisite for this course is ISMG 6080. If you are familiar with database management systems and have worked with such systems (e.g., ACCESS) in the past you satisfy the prerequisite requirements for this course. Restrictions: Restricted to graduate majors and NDGR majors with a sub-plan of NBA within the Business School, graduate majors within the College of Engineering, Design and Computing, PHCS PhD majors and PhD majors. Max hours: 3 Credits. Semester Hours: 3 to 3