ACCT55200

Prerequisites: Enrollment in the MAc program; or ACCT 30273 and credit for or concurrent enrollment in ACCT 40253; or instructor permission. Business Intelligence & Accounting Analytics combines financial and operational data with mining tools to improve the timeliness and quality of inputs to decision processes. It encompasses both top-down (confirmatory or hypothesis driven) analysis using traditional statistical techniques and bottom-up (exploratory) analysis using database and machine learning techniques to discover regularities, relations, or local structure/patterns that are at first unknown. The topics and related methods discussed include information retrieval and enterprise reporting, classification, predictive modeling, clustering, association rules mining, and social network analysis. The application of these methods are illustrated using modern software tool via examples, homework assignments and group term projects.