Case Study: Perdue Farms achieves faster, more accurate USDA reporting with Dataiku

Perdue Farms From Data Chaos to Clarity With Dataiku

Perdue Farms, a leading U.S. food and agricultural company, was struggling with the time-consuming and error-prone manual collection and reporting of USDA data. Its food safety team spent hours each month managing spreadsheets and generating reports, slowing down analysis and making it harder to deliver timely insights. Dataiku helped Perdue Farms replace these bottlenecks with a more scalable, automated approach.

With Dataiku, Perdue Farms centralized file uploads through SharePoint, automated USDA data collection via APIs, and streamlined data cleaning, transformation, and reporting across internal and external sources. The result was faster reporting, reduced manual effort, and stronger self-service analytics: tasks that once took days now take hours, enabling better decision-making and a more flexible, scalable data architecture across Microsoft Azure and Snowflake.

Perdue Farms

Mike Barnas

Tech Lead