Divvying Up Data: A Data Analytics Case

Abstract

ABSTRACT This case asks students to assume the role of a newly hired (data) analyst for Divvy, Chicago’s bike share program. In this role, they use data analytics software to perform data analysis and data visualization techniques. This case can be implemented in multiple parts, and it is scalable for the unique needs of instructors and their students. Introductory topics include assessing the properties of the data, describing data validation techniques, creating calculated variables, and constructing basic data visualizations. Advanced topics include joining additional data sources, developing and investigating research questions, and creating dashboards to tell a meaningful story about the data. The case is unique because it enables students to interact with a large, real-world dataset, and it is ideal for accounting information systems or data analytics courses.