01 / Clean up the data
Stop checking which record is right.
Duplicate customers, inconsistent labels, missing fields and spreadsheets that disagree make every downstream task harder.
We agree the rules, identify issues and prepare a checked dataset, with uncertain records set aside for your team.
- Field mapping and consistent formats
- Duplicate detection and an exception list
- Reconciliation back to source records
Example output · Sample data
One consistent customer record
Client 104 / UK / ActiveCLIENT-104 / U.K. / active104 / United Kingdom / AID: CL-104Country: GBStatus: ActiveMapping shown for demonstration. Possible duplicates are reviewed against agreed identifiers before merging. Original records and exceptions remain traceable.