Perdue Farms: From data chaos to clarity with Dataiku

Perdue Farms' food safety team spent countless hours each month manually collecting USDA data across multiple spreadsheets, an error-prone process that crowded out strategic work. Dataiku automated the workflow end-to-end: SharePoint integration for centralized uploads, API calls for automatic USDA data collection, and automated cleaning/transformation/joining, built on their Microsoft Azure and Snowflake architecture. Tasks that used to take days now take hours, saving over 6 hours monthly and enabling self-service analytics with less IT dependency. Tech Lead Mike Barnas said 'our team can now perform complex data analysis and automation tasks that were previously out of reach.'

Dataiku is a low-code/no-code AI platform whose Prompt Studios and LLM Mesh let teams prototype and A/B-test candidate LLM approaches before committing to a production workflow.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.