IFS 465 Business Intelligence

Fall Semester

This course presents a multidisciplinary (management, marketing, operations, finance, and statistical assessment) approach to the analysis of both structured and unstructured data. It focuses on the increasing need for businesses to search for, extract, analyze, and present complex ideas from raw sources of data. By applying a cross-functional technical and managerial perspective, the aspects of data mining, data warehousing, and visualization are rigorously defined and presented via lectures, examples, cases, and assignments to enable the student to conduct a wide variety of assessments in support of business operations and decision making. Prerequisite: IFS 125 and QBA 265 with grades of 2.0 or higher.

3 credit hours