Data migration is not a technical task — it is a trust-building exercise. If data feels wrong, adoption collapses.
1. Poor Field Mapping Creates Long-Term Confusion
Misaligned fields distort reporting and automation.
Best practice includes:
- Standardizing field names
- Eliminating redundant fields
- Validating formats before import
Clean structure matters more than speed.
2. Relationship Integrity Is Critical
Deals, contacts, and companies must remain linked. Broken relationships render data unusable.
Validation should include:
- Sample record testing
- Workflow triggers
- Reporting accuracy checks
3. Automation Testing Is Often Forgotten
Imported data must trigger workflows correctly. Many teams skip this step — and automation silently fails.
Testing prevents weeks of lost opportunity.
4. Post-Migration Audits Build Confidence
Audits confirm:
- Data completeness
- Automation accuracy
- User trust
Migration is not complete until the CRM is trusted again.
Use a structured migration checklist and avoid irreversible mistakes.