Analytics Accelerators

A curated multidisciplinary team of Wharton and Penn students works alongside a Wharton mentor and a champion from your company on a 6-8-week project during the fall or spring semester to solve your real-world business problem using your datasets and the latest techniques including machine learning and AI.

Why the Analytics Accelerator?




Extensive engagement with student teams to produce deeper insights



Teams receive guidance from Wharton faculty or Senior Fellows to deliver curated insights and solutions



Increase your brand awareness and recruiting outcomes among Penn and Wharton students

“We are beyond thrilled to collaborate with the amazing minds at Wharton and Penn on advanced marketing initiatives. Students will play a crucial role in surfacing and disseminating tactical intelligence from cross-platform datasets to inform business decisions at FOX Entertainment.”

Gina Bahremand, WG’11
Vice President of Audience Research, FOX Entertainment

Spring 2021 Analytics Accelerator Projects


Fox Entertainment currently serves as Fox’s television production arm.  FOX is looking to establish a new marketing mix model to optimize owned marketing strategy for premiere campaigns. Additionally, Fox would like to determine the effects of social media content marketing and how it affects different types of shows with respect to genre, new or returning shows, and seasonality.


McDonald’s is the largest restaurant chain by revenue serving 69 million customers daily in over 100 countries. The restaurant chain would like to answer several questions around organic and paid social media and how it impacts financial performance. Additionally, McDonald’s would like to better understand the impact of an “always on” social media strategy versus a “big splash” strategy in driving sales and brand affinity.

Fall 2020 Analytics Accelerators

Comcast Logo
Cubic Logo
Lidl Logo
Neuroflow Logo
TE Connectivity Logo

Previous Analytics Accelerators

Cubic Mission and Performance Solutions is a manufacturer of secure communication solutions to defense and public safety markets.

Cubic was looking to develop a model to recommend products to customers and recommend ways to appeal to certain customer groups and measure success.

Essity is a global hygiene and health company, with its headquarters in Stockholm, Sweden. The company develops, manufactures and sells products and solutions within hygiene and health.

Essity was looking to develop an in-field pricing recommendation engine for distributors of hygiene products.

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. The company is family-owned and run.

Ferrero was looking to develop a marketing mix model(s) to better balance resources to power brands and product innovations.

TE Connectivity is a technology company that designs and manufactures connectivity and sensor products for harsh environments in a variety of industries.

TE Connectivity is looking to develop a model to predict sales and revenues for this sensor manufacturer.

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