The current data environment spurs technological and business analytics innovations in both practice and research. Many large consulting firms invest heavily in technology to help business analysts develop skills in extracting and visualizing useful information from large sets of data. The purpose of this teaching case is to provide students with practice in data analytics techniques and consider computer-based systems in the revenue cycle. Students will read a teaching case based on a real grocery store chain, referred to as WILDCAT Grocery Stores, Inc.; evaluate its systems and use of technology for the revenue cycle; and apply data analytics to a large fictional transaction dataset for information extraction. In addition, we introduce the use of Python programming and visualizations into the case analysis to highlight the efficiency of newly emerging data analytics techniques.