Broken CSVs, Solved: Automating the Cleanup Process

May 15

A public service organization with a cross-functional data team was spending 5–6 hours per week manually fixing CSV files from partners. These files often failed ingestion due to structural issues like misplaced commas and inconsistent formatting.

By implementing DataPeak’s no-code, intelligent preprocessing agents, the team:

Increased import success rate from ~65% to 100%
Cut cleanup time by 80%
Reclaimed 1000s of analyst hours per year

This change didn’t just eliminate a manual task. It improved decision speed, restored trust in reporting, and allowed analysts to focus on high-impact work and get data harmonized in the open data portal.

Removing Unwanted Commas from CSV Files Background

Read the full story of how they did it and see what DataPeak could do for your team.

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Fixing Broken CSVs Automating Data Cleanup to Eliminate Column Mismatches with DataPeak.png

Disclaimer: Results described in this case study are specific to the featured client’s experience. Actual outcomes may vary based on your business context and implementation.

Veronica Skinner