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Analytics Accelerator Case Studies
Customers of A Feather Engage Together
Students were asked to build a statistical model for NeuroFlow, SaaS healthcare technology and analytics company. The goal was to identify users at high risk of churn, which would help inform product design, promotional offerings, etc. to proactively engage and retain these users.
Sweet Solutions to Advertising Questions
Ferrero is the third top-selling chocolate confection manufacturer in the world. The company has ambitious growth plans to be achieved through innovation, category expansion, and M&A. Their student team was asked to develop a marketing mix model(s) to better balance resources to power brands and product innovations.
Demand Prediction for IoT Devices
TE Connectivity is a technology company that designs and manufactures connectivity and sensor products for harsh environments in a variety of industries. Their student team was asked to develop a model to predict sales and revenues for this sensor manufacturer.
About the Analytics Accelerator
Every fall and spring semester, Wharton Customer Analytics 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 techniques including machine learning and AI.
Featured
Datathon Case Studies
Discovering New Customers and Game Usage via New Data Lenses
Student teams had one week to analyze user data from Origin Access, EA’s all-you-can-play subscription service, including their activity on the games included in the subscription catalogue and individually purchased games.
Driving Revenue Through Guest-To-Host Conversion
Students were asked to increase revenue for Evite by addressing one or more of the core drivers of growth. The winning team’s solution would be deployed on the Evite platform to make real-time decisions and to drive measurable improvement to an aspect of Evite’s user experience or lifecycle.
Identifying Key Customers through CLV Modeling and Regression Analysis
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 industry segments to their business.
About Datathons
Spanning up to one week, several self-formed, multidisciplinary Penn and Wharton student teams compete to present the most innovative machine learning and strategic solutions to a company’s business needs.
Case Studies at a Glance
Quick Facts
Industry: consumer packaged goods
Keywords: brand halo effect, A/B testing, marketing mix model
Project: Analytics Accelerator
Quick Facts
Industry: retail
Keywords: rental-purchase agreements, predictors of default rate
Project: Analytics Accelerator
Quick Facts
Industry: consumer packaged goods
Keywords: customer lifetime value (CLV), forecasting
Project: Analytics Accelerator
Quick Facts
Industry: technology, healthcare
Keywords: customer churn, k-means clustering, random forest model
Project: Analytics Accelerator
White Papers
Rethinking Analytics – Dealing with the K
Analytics is increasingly becoming the backbone of decision making across functional areas and industries the world over. We believe that this capability, which is often a key differentiator, is set to play a significant role in the new economic order established in the aftermath of the Covid-19 pandemic.
The Markets in Motion Study: What Every CMO Needs to Know to Make Marketing Decisions During The Covid-19 Recession
This study is designed to help CMOs learn from the past and make the best possible decisions about where, how, and when to invest to maximize firm revenues, profits, and share.
Voice Analytics and Artificial Intelligence: Future Directions for a post-COVID world
As the adoption of IoT and voice-enabled technology has become mainstream, we see a post-COVID world of innovation in voice technology products and analytics, and disruption in traditional growth of ecosystem to support it.