How to Write Data Cases
This guide discusses good data for a case along with components of a data case.
Web Scraping using RPA
This case study teaches RPA by walking you through how to automate web scraping using UiPath.
Chicago Cab Case Version 1
In this case, students take the role of a new accountant who has been asked to analyze available data about the Chicago cab industry.
Database for Accountants
In this case, you will retrieve, aggregate, and report financial statement line items created from transaction-level data.
Segment of the Moment
This case study will help you understand the process of creating customer segments from a sales transaction data set.
Chicago Cab Case Version 3
In this case, students take the role of a new accountant who has been asked to analyze available data about the Chicago cab industry.
Large Tax Data for Use in Cases
Use a comprehensive dataset of simulated financial reporting and tax return information to create case studies.
Data Wrangling using R: Application to Netflix Data
Use R to perform statistical analysis on Netflix data.
K-Means Clustering with Excel
Are you curious about clustering? Learn clustering using Excel.
Revenue Risk Assessment and Analytics
Students will work in PowerBI/Tableau to create data visualizations, perform related analyses, and execute risk assessment procedures for the related revenue account.
Learning to Predict: The Case of Smartwatch Adoption
Can you use Machine Learning (ML) and Predictive Analytics (PA) to predict the smartwatch adoption by consumers?
Chicago Cab Case Version 2
In this case, students take the role of a new accountant who has been asked to analyze available data about the Chicago cab industry.
Does Workplace Wellness Work?
The workplace wellness industry is big business with $8 billion in annual revenue and covering over 50 million American workers, but does it really work?
Case Studies
Case Studies are designed to identify and address data analytics applications in today’s business environment. These case students can be inserted into your data analytics curriculum and offer students the opportunity to use data in important and practical ways.