Data-Driven Decision-Making and Business Intelligence

Catalog description

This 3-credit core required course introduces management concepts of data asset in a business context and examines how data analysis technologies can be used to improve decision- making and inform those at the senior management level. Students will understand how increasingly standardized data, access to third-party data sets, cheap, fast computing, and easier-to-use software are collectively enabling a new age of data-driven, fact-based decision making. Students will also learn why transactional database can't always be queried and what needs to be done to facilitate effective data use for analytics and business intelligence. Business intelligence tools will also be introduced and cases will be discussed on how business organizations achieve competitive advantages through the valuable, unique, imitation-resistant, and non-substitutable data asset. The emphasis of the course is on application and interpretation of data analytics results for making real-life decisions in terms of business policy and competitive strategy. Topics also include value chain model, strategic positioning, competitive forces model, disruptive innovation, sharing economy, and network-based platform economy.