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 in machine learning and AI.

Why the Analytics Accelerator?

Benefits

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DEEP KNOWLEDGE

Extensive engagement with student teams to produce deeper insights

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VETTED SOLUTIONS

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

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SOURCE TOP TALENT

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

“Our student team made us think about data and analytics in a very different way. The fact that we were able to generate a good outcome in a really short period of time with this Accelerator project really encouraged us and emboldened us to step up the conversation about how we manage data internally.”

Margaret Zminda
EVP, CFO and COO, The Barnes Foundation

Fall Analytics Accelerator – Important Dates

Push your company to the next level of critical decision-making through our upcoming Analytics Accelerator. Let top-tier Wharton and Penn talent solve your most pressing data challenge using the latest advances in analytics.

July 1

Company applications deadline

August 1

Companies notified

October 9

Initial project scoping meeting with WCA and your student team

November 20

Analytics Accelerator Summit on Wharton’s campus

How to Join

Secure your spot by becoming a Corporate Partner or submit your proposal through a highly competitive application process.

Become a Partner


Corporate Partnership Inquiry Form

For more information about our Corporate Partnership program, complete the following form.










Click here to apply


Analytics Accelerator Registration



  • *please designate office or cell
  • If yes, provide alumni year and affiliation
  • This can be across the organization or specific to the department of the company applying
  • Note: Preference will be given to these companies.







  • If your company is not selected, would you like your project to be considered for other WCA projects such as datathons, workshops or Analytics Fellows projects?

How it Works

Join the Analytics Accelerator
Secure your spot by becoming a Corporate Partner or submit your proposal through a highly competitive application process.

Scope Your Project
Identify the business problem, project objectives, datasets, and a champion from your company.

Prepare and Share Data
Execute a data provider agreement and transfer data to WCA through secure channels or grant direct access to your company’s secure environment.

Launch Your Project
Meet your student team (in person or virtually) and discuss project objectives and collaboration expectations.

Meet Regularly
Attend weekly meetings with your student team, their Wharton mentor, and WCA staff.

Participate in the Summit
Come to campus to receive valuable insights from your student team and critique the statistical models and implementable solutions they have developed.

Turn Analytics into Impact
Implement the teams’ recommendations and models within your company’s environment and evaluate the impact with WCA.

Analytics Accelerators

Cubic Mission 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.

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