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?
“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.”
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.
Fall 2020 Analytics Accelerator Projects
Comcast is an American telecommunications conglomerate, providing cable, internet, and mobile phone services to approximately 45% of the US.
Comcast is looking to use customer-level purchase data to understand how consumers value their products and product bundles, helping the company identify opportunities for new product bundles and/or pricing adjustments.
Cubic Mission and Performance Solutions is a manufacturer of expeditionary compute and networking platforms to defense and public safety markets.
Cubic is looking to create dashboards that allow them to visualize customer lifetime value (CLV) and market growth opportunities.
Evite is a Los Angeles-based social-planning platform for creating, sending, and managing online invitations.
Evite is looking to use its historical event data and publicly available COVID-19 related data (cases/deaths and city reopening phases) to predict when and where in-person events will resume. Evite would also like to consider how its event data can provide a signal for public health and to predict spikes and spread of disease.
Lidl is a global discount supermarket chain, based in Germany, that operates more than 10,000 stores across Europe and 94 stores in the United States.
Lidl is looking to understand customer behavior and preferences, based on region, to build a recommendation system for localized product assortments and to optimize consumer promotions.
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 is looking to build a statistical model to identify users at high risk of churn, which will help inform product design, promotional offerings, etc. to proactively engage and retain these users. They are also looking for recommendations for app development and user experience.
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 “what-if” scenario tool to simulate business impact when changes are made to their network of suppliers and distributors, including authorizations, terminations, and product line additions/subtractions.
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.
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.
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.
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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.
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How a Penn/Wharton Student Team Is Helping The Barnes Foundation Reach Bigger Audiences
One of the world’s finest collections of impressionist, post-impressionist, and early modernist paintings, the Barnes Foundation experienced a transformative move in 2012 from its longtime home in Merion to a new building on Philadelphia’s Benjamin Franklin Parkway in 2012.
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Wharton Analytics Accelerator Summit Gives Students an Opportunity to Apply Classroom Knowledge to Real Business Problems
On a gloomy Friday morning, analytics enthusiasts gathered at the Wharton School for the Wharton Analytics Accelerator Summit.
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