Identifying Key Customers and Industries through Customer Lifetime Value (CLV) Modeling and Regression Analysis

Identifying Key Customers and Industries through Customer Lifetime Value (CLV) Modeling and Regression Analysis About the Datathon Twenty self-formed teams comprised of approx. 80 Penn/Wharton students were provided the same core set of Ryder System, Inc., customer data at the contract level to model the most valuable customers and industryRead More

Sweet Solutions to Advertising Questions

Analytics Accelerator Case Study Sweet Solutions to Advertising Questions About the Analytics Accelerator Every fall and spring semester, Analytics at Wharton hosts the Analytics Accelerator, an experiential learning program that pairs students with a company to solve a real-world business problem using the company’s actual datasets and the latest techniquesRead More

Weitzman Team Wins Wharton Datathon for Game Powerhouse Electronic Arts

Analytics at Wharton News Weitzman Team Wins Wharton Datathon for Game Powerhouse Electronic Arts A team of Weitzman students won the latest datathon organized by the AI and Analytics for Business (AIAB) for Electronic Arts (EA), the entertainment company behind such hit games as FIFA 17 and The Journey. The winning students were Master ofRead More

2019 Evite Datathon

Driving Revenue Through Guest-To-Host Conversion Datathon Overview Twenty self-formed student teams were provided the same core set of Evite user data, which comprised of seasonal events (i.e., BBQs, holiday parties), annual events (i.e., Father’s Day, birthday parties), and date-specific events (i.e., engagement parties). The teams had two weeks to developRead More

Students Analyze Ferrero’s Advertising Spend Data to Help Improve ROI

Wharton Business Daily Logo

Nikki Bowser, WG’21, and Erin Breland, head of global business intelligence and analytics at Ferrero, discuss the Wharton Analytics Accelerator project Nikki’s student team pursued. The students looked at Ferrero’s TV product advertising across all markets to see if they could improve ROI.Read More

Principal Stratification for Advertising Experiments

Analytics at Wharton Research Principal Stratification for Advertising Experiments Advertising experiments often suffer from noisy responses making precise estimation of the average treatment effect (ATE) and evaluating ROI difficult. We develop a principal stratification model that improves the precision of the ATE by dividing the customers into three strata --Read More