This course deals with a collection of computer technologies that support managerial decision making by providing information of both internal and external aspects of operations. They have had a profound impact on corporate strategy, performance, and competitiveness, and are collectively known as business intelligence. During this course the following BI topics will be covered: Business perspective, Statistics, Data management, Data integration, Data warehousing, Data mining, Reporting and online analytic processing (i.e., descriptive analytics), Quantitative analysis and operations research (i.e., predictive analytics), Management communications (written and oral), Systems analysis and design, Software development

Learning outcomes

This course has been designed with the following learning objectives in mind: - Understand the fundamentals of the collection of technologies called Business Intelligence (BI) - Understand the relationships between BI technologies within a typical BI architecture - Relate the theoretical foundations to professional experiences in daily practice - Experience the typical steps performed in a BI implementation project - Obtain hands-on experience with professional BI tooling - Understand current state-of-the-art research in BI technologies
Number of credit hours per week 20
Course eligibility Optional
Presence of students On-campus