Data entry ops · Production

Perdue Farms automates USDA data collection and reporting with Dataiku

The problem

Perdue Farms' food safety team spent countless hours each month manually collecting USDA data, managing multiple spreadsheets, and generating reports in a process that was error-prone and time-consuming, preventing the team from focusing on higher-value analysis.

Workflow diagram · grounded in source
1
SharePoint CSV/Excel upload
trigger
“They integrated SharePoint as a centralized platform for business users to upload their CSV/Excel files, reducing the need for technical skills.”
2
Automated USDA API collection
integration
“API calls were set up to automatically collect USDA data, eliminating the need for manual downloads.”
3
Data ingestion and transformation
ai_action
“Dataiku seamlessly ingested both internal and external data, automating the cleaning, transformation, and joining processes, ensuring that reports were consistent and accurate.”
4
Data lake holistic reporting
output
“the entire data inventory is now available for holistic reporting in Perdue Farms' data lake”
Reported outcome

After adopting Dataiku, Perdue Farms reduced data analysis time from days to hours and saved 6+ hours monthly, while enabling self-service on-demand reporting and freeing the food safety team to focus on strategic analysis and data-driven decisions.

Reported metrics
Data analysis completion timeOnly Hours vs. days prior
Time saved monthly6+ Hours
Reported stack
DataikuSharePointMicrosoft AzureSnowflake
Source
https://www.dataiku.com/stories/detail/perdue-farms/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

After adopting Dataiku, Perdue Farms reduced data analysis time from days to hours and saved 6+ hours monthly, while enabling self-service on-demand reporting and freeing the food safety team to focus on strategic ana…

What tools did this team use?

Dataiku, SharePoint, Microsoft Azure, Snowflake.

What results were reported?

Data analysis completion time: Only Hours vs. days prior; Time saved monthly: 6+ Hours (source-reported, not independently verified).

How is this data entry ops AI workflow structured?

SharePoint CSV/Excel upload → Automated USDA API collection → Data ingestion and transformation → Data lake holistic reporting.

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