Broaden your analytics skillset through a monthlong experiential learning project and work with actual companies using real-world datasets
Why the Analytics Accelerator?
“Having the opportunity to work with real data sets, I was able to gain a deeper understanding of many of the statistical concepts I had learned in my coursework. After working on three Analytics Accelerators, I feel confident in my ability to tackle a real-world, unstructured, data science problem.”
– Ashley Clarke, W’23
How it Works
Who Is Eligible?
Penn and Wharton undergraduate and graduate students who show a demonstrated interest in analytics and possess relevant skills ranging from project management, to client relations, to technical expertise. Technical skills are not required but are a plus.
Kick off the project, meet with your assigned company, and discuss their real-world business challenge.
Working closely with a Wharton mentor, analyze the dataset using programming languages and tools of your choice (i.e., Python, SQL) and create a statistical model that helps to solve the business challenge.
Share your findings and recommendations with your company at the Analytics Accelerator Summit.
Fall Analytics Accelerator – Important Dates
Students must be able to commit a minimum of 10 hours/week for 7 weeks, and must be available on the following dates and times:
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.
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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