Zar Labs
ERP data migration guide
Last reviewed: 2026-09-28
Executive summary
Migration success is mostly data quality and rehearsals. Inventory sources, cleanse, map fields, dry-run, reconcile, then cut over with a rollback plan.
Steps
- Source inventory and owners
- Cleansing rules and dedupe
- Field mapping and transforms
- Dry runs with reconciliation reports
- Cutover window and rollback
Pros & cons
Pros
- Fewer go-live fires
- Auditability
Cons / watch-outs
- Unowned dirty data slows everything
Comparison
| Risk | Mitigation |
|---|---|
| Dirty masters | Cleanse before map |
| No rehearsal | Multiple dry runs |
Frequently asked questions
Do you migrate ERP data?
Yes as part of implementation programs. See /services/erp-implementation.
Ready to scope your build?
Share goals, stack constraints, and timeline. We’ll respond with a discovery path and phased estimate.