Spanning up to one week, several self-formed, multidisciplinary teams of Wharton and Penn students compete to present the most innovative solutions that may include machine learning to solve your company’s business needs using your data.
“The outcomes of Evite’s Datathon have definitely given inspiration to our data and development resources, and we are in active conversations internally about other potential machine learning approaches that were inspired by the winning team,”
-Victor Cho, W’93
How it Works
Become a Corporate Partner
Only Corporate Partners are eligible to host a Datathon.
Scope Your Project
Identify the business problem, project objectives, datasets, and a champion from your company.
Virtually launch the project by hosting a webinar for the student teams where you share information about your company, project, and data.
Participate in the Symposium
Come to campus to receive valuable insights from multiple teams and critique the statistical models and implementable solutions they developed.
Select the Winning Teams
After the teams have presented their findings, work with WCA leadership to choose the winning teams based on their ingenuity and strategic solutions.
Turn Analytics into Impact
Implement the teams’ recommendations and models within your company’s environment and evaluate the impact with WCA.
November 6-13, 2020
Over the course of a week, students will be asked to analyze sensor data from Essity products and provide insights and recommendations around product development, operations, and customer health scores. Students will present their findings to Essity leadership on Nov 13th and a winner will be selected. Team registration will open in Fall 2020.
February 19-26, 2021
This unique datathon experience will be composed of teams made up of both Fulton Bank employees and Penn Students to come up with insights and recommendations for Fulton Bank using their data around selected business challenges in HR, Operations, Consumer, Commercial and Finance. Students will present their findings to Fulton Bank leadership on Feb 26th and a winning team will be selected. Team registration will open in Spring 2021.
DISCOVERING NEW CUSTOMERS AND GAME USAGE VIA NEW DATA LENSES
Student teams had one week to analyze user data from Origin Access, EA’s all-you-can-play subscription service, including their activity on the games included in the subscription catalogue and individually purchased games.
Driving Revenue Through Guest-To-Host Conversion
Students were asked to increase revenue for Evite by addressing one or more of the core drivers of growth. The winning team’s solution would be deployed on the Evite platform to make real-time decisions and to drive measurable improvement to an aspect of Evite’s user experience or lifecycle.
Identifying Key Customers and Industries through Customer Lifetime Value (CLV) Modeling and Regression Analysis
Twenty self-formed teams comprised of approx. 80 Penn/Wharton students were provided the same core set of Ryder System, Inc., customer data at the contract level to model the most valuable customers and industry segments to their business.
WCA Datathon Student Finalists Present Their Data Findings to Evite
Evite CEO Victor Cho, W’93, and VP Jay Neuman learned what Wharton and Penn student teams discovered about their company’s data at the Datathon finale.
Read more >>
Evite Launches Machine Learning Project with No In-House Data Scientists
Evite and WCA teamed up to create a datathon for Wharton and Penn students to design and implement data-driven solutions for improving the user experience of the Evite platform and increasing revenue for the company.
Watch video >>