Using Data for Business Intelligence

Catalog description

This doctoral course covers the technological and management aspects of developing and using data to support advanced decision making. Business intelligence is employed to optimize business operations in business and government settings. Students develop a data strategy for an organization of their choice and then build a platform to create data driven business intelligence. Students also examine the phases of data exploitation including collection, storage, analysis and visualization using state-of-the-art tools. Artificial intelligence (AI), robotic process automation (RPA) and other techniques are researched and applied to a business problem of the students’ choice. Relevant business problems include finding new sources of revenue, improving employee productivity, maximizing the customer experience, and developing effective social media marketing. Ethics, trust, privacy and transparency are all explored to ensure the credibility of the business intelligence results. Students must achieve a minimum grade of B- (3).