Analytics Accelerator

A curated multidisciplinary team of Wharton and Penn students, ranging from undergraduates to MBAs, works alongside a Wharton mentor and your company champion on an 8-week project to explore your real-world business challenge using your datasets and the latest techniques including machine learning and AI.

Accelerators occur during the fall and spring semesters and are typically planned six months in advance.




Discover deeper insights and machine learning models through extensive engagements with AIAB data scientists



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



Increase your brand awareness among students and tap into the next generation of data leaders

“The results from our Analytics Accelerator project were truly outstanding. We were so impressed with our student team. What was discovered was actionable and well thought out. McDonald’s is eager to implement the students’ recommendations and assess the impact.”

Jola Oliver
Director of Global Social Listening & Measurement, McDonald’s Corporation

How it Works

Join the Analytics Accelerator
Secure your spot by becoming a Corporate Partner

Scope Your Project
Identify the business challenge, objectives, and datasets

Prepare and Share Data
Agree to a process around secure data sharing

Launch Your Project
Meet your student team and discuss project objectives and expectations

Meet Regularly
Attend weekly meetings with your student team and AIAB mentor

Participate in the Summit
Experience student presentations with insights, models, and solutions

Evaluate Impact
Discuss project recommendations and business implications with AIAB

Spring 2023 Analytics Accelerator Projects

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Fall 2022 Analytics Accelerator Projects

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Spring 2022 Analytics Accelerator Projects

Fall 2021 Analytics Accelerator Projects

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Master Kong - Kang Shi Fu Logo
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Spring 2021 Analytics Accelerator Projects

Fox Entertainment Logo

Fall 2020 Analytics Accelerator Projects

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Lidl Logo
Neuroflow Logo
TE Connectivity Logo

Why the Analytics Accelerator?

Analytics Accelerator Case Studies

neuroflow logo

Neuroflow is a SaaS healthcare technology and analytics company enabling behavioral health access and engagement to improve outcomes, overall wellness, and costs of care.

Neuroflow was looking to build a statistical model to identify users at high risk of churn, which would help inform product design, promotional offerings, etc. to proactively engage and retain these users. They were also looking for recommendations for app development and user experience.

Ferrero Logo

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 Logo

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.

Related Articles

Analytics Accelerator Zillow Team


The Zillow Analytics Accelerator project promised to be a tough one. The online real estate company wanted to find meaningful patterns in the copious data it collects on site visitors, so the leaders turned to AI and Analytics for Business for help. Keshav Ramji, W’24 EAS’24, who is earning a dual degree in economics and computer science, was one of those students of the students on the team.

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Keeping Viewers Glued to Their Seats at the 2021 Analytics Accelerator

An MBA and undergraduate student team analyzed data from FOX Entertainment to help inform data-driven promotion strategies for marketing their TV shows.

Students Offer Sweet Solutions to Data Problems at the Analytics Accelerator Challenge

Corporate executives partnered with Wharton and Penn students to provide practical solutions to their most pressing marketing and analytics problems.