data_entry_ops · manufacturing · workflow
Perdue Farms automates USDA data collection and reporting with Dataiku
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · SharePoint CSV/Excel upload
Business users upload CSV/Excel files to SharePoint as a centralized platform, reducing the need for technical skills.
Tools used
DataikuSharePointMicrosoft AzureSnowflake
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.
Results
Time savedOnly Hours vs. days prior
Grounding & classification
Source type: vendor customer story
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data extractionform submissionmetric backednamed customertools describedvendor confirmedworkflow describedagriculturecycle time reductionemployee productivitytime savedvendor customer storyback office opsdata entry opsdata sync enrichmentdocument to record