Data import is not simply copying rows into a new database. The work includes understanding source fields, resolving duplicates, mapping statuses, validating relationships, handling missing values, and proving that the imported records can support real workflows.
A useful estimate begins with a representative sample, not a row count alone.
Inventory the source data
List files, exports, databases, vendors, spreadsheets, images, documents, identifiers, owners, formats, and dates. Record which fields are authoritative and which are derived or outdated.
Plan cleanup and mapping
Define duplicate rules, required fields, status mappings, date formats, ownership, relationships, archives, and invalid records. Decide what will be corrected, excluded, quarantined, or preserved for review.
Budget for a rehearsal
Run a sample import into a safe environment, review counts and relationships, test the application, fix mapping issues, and repeat before the final migration. A rehearsal often exposes assumptions early.
The data migration guide and data cleanup guide cover the planning work.
Include operational controls
Plan backups, logs, access, validation reports, error records, rollback, cutover timing, and a person who can approve the result. Keep the source available until acceptance is complete.
Ask for a scope-based estimate
Provide sample exports, record counts, field definitions, relationships, attachments, source-system documentation, and acceptance rules. Ask for discovery, transformation, import, verification, cleanup, and support hours separately.
At Vertinus's published rate of $49.99 per hour, data cleanup and verification should be visible rather than hidden inside a vague migration line.
Moving from spreadsheets or a legacy system? Ask Vertinus to assess a representative export before quoting the full import.