Guides
A practical process for cleaning CSV files while preserving the columns needed for QA, analytics, or support review.
CSV files are often exported directly from admin tools, CRM systems, dashboards, billing platforms, or spreadsheets. They look operational and harmless, but they can contain names, emails, phones, addresses, card data, and internal notes.
Instead of flattening the whole file, keep safe columns like status, plan, region, or totals visible. Mask only the columns that contain personal data or secrets.
Some exports contain IDs that are harmless in one context and sensitive in another. Customer IDs, member IDs, reservation codes, and internal references should be reviewed based on how your organization treats them.
If your export contains domain-specific columns such as caseNumber, vendorRef, or internalNote, add them as custom fields before downloading the cleaned output.
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