Case Study: Redfin replaces spreadsheets with reproducible data science using Posit Connect

A Posit PBC Case Study

Preview of the Redfin Case Study

How Posit helped Redfin move data from spreadsheets to a reproducible data science environment

Redfin, a technology-powered real estate brokerage, was struggling to scale planning and forecasting with spreadsheets, email, and files in Google Drive. As models became more complex, the formulas became error-prone, slow to maintain, and too sluggish for users to work with, with workbooks taking 10 or more minutes to open or sometimes crashing entirely. Posit helped Redfin move these processes into a reproducible data science environment using R and Shiny, supported by Posit Connect.

With Posit Connect, Redfin built interactive budgeting and forecasting apps that replaced spreadsheet-based workflows and let managers evaluate scenarios in seconds instead of minutes. The team also used features like Active Directory integration and one-click publishing to simplify deployment and access management. Posit enabled Redfin to streamline user input, speed up iteration, and expand into other operational tools, making the analytics platform a more flexible and maintainable part of the business.


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Redfin

Jared Goulart

Director - Operations Analytics


Posit PBC

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