Data Import Rescue: Clean a Messy CSV Without Losing People

A team needs to import members, contacts, or orders from a messy spreadsheet full of duplicates, missing fields, inconsistent names, bad dates, and accidental private notes. Participants build an import workflow that catches problems before they become database records.

The lab covers column mapping, validation, previews, duplicate detection, error grouping, dry runs, audit trails, and rollback. It is practical for community platforms, CRMs, admin tools, and any product that depends on human-entered data.