Carlson Analytics Lab
Expand your company’s analytics capabilities and build a pipeline to in-demand talent by partnering with the Carlson Analytics Lab.
Business Analytics Solutions
The Carlson Analytics Lab matches partner companies with teams of graduate students skilled in data visualization, machine learning, predictive analytics, and other data science methods. Over the course of 14 weeks, students act as analytics consultants and tackle real business problems using data for their client company. Sponsors receive high quality project work, in-depth analysis, new insights, and real analytics solutions.
Top Analytics Talent
Students work in the Carlson Analytics Lab as part of the Master’s in Business Analytics curriculum. This program teaches students how to harness data to solve twenty-first century business challenges. Graduates go on to roles at top companies such as Amazon, Google, Expedia, Ameriprise Financial, Optum (UnitedHealth Group), and McKinsey & Company.
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Mall of America Mines Insights from Wi-Fi Data
Read how the Carlson Analytics Lab helped generate new customer insights from a novel data source, and how Mall of America is putting those insights to work.
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Forecasting Patient Census for Hennepin County Medical Center
Putting machine learning into action, this Carlson Analytics Lab team helped a large hospital to optimize nurse staffing decisions.
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Project Profiles
Carlson Analytics Lab teams use data to create real business value for companies across industry sectors. National retailers, manufacturers, healthcare players, agribusinesses, and others have partnered with us.
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Client Video
Big Data in the Business World
Carlson Analytics Lab clients from 3M, Regis Corporation, Land O'Lakes, Carlson Wagonlit Travel, and Polaris Industries discuss what role big data plays in business, what they look for when hiring, and how the Carlson School analytics program prepares students for jobs in big data.
Some of Our Clients
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Partner with the Lab
The Carlson Analytics Lab works with client organizations of all sizes from any industry sector. We are currently seeking proposals for data-intensive projects of all kinds, including exploratory analysis, machine learning, predictive analytics, causal experimentation, optimization, and more.
