This case, which has been taught successfully in a Darden online class, allows for an introductory application of the Tableau analytics platform. In 2012, Carvana Co., an e-commerce platform for buying used cars, hosted a competition called "Don't Get Kicked!" wherein 570 teams competed to predict if a car purchased at auction was a "kick" (i.e., a bad buy)—a vehicle with a major defect. To compete, teams downloaded Carvana's data from Kaggle's website. At the time of the competition, data science was a burgeoning field, and industry watchers wondered if machine learning could help a company such as Carvana develop a competitive advantage. This case analyzes the US used-car market, Carvana's history and Kaggle's role in its development, and the viability of data science—particularly visual analytics—in guiding business and consumer decisions.
