End-to-end data migration for ERP transitions and platform consolidations. Automated extraction, transformation, validation, and reconciliation - with audit-ready evidence at every stage.
Legacy data trapped in systems that do not talk to each other. 18 years of business logic encoded in platforms that predate modern data architecture. Customer relationships, supplier hierarchies, pricing structures, BOMs, transaction history - all locked in schemas that were never designed to be portable.
The challenge is not moving rows. It is preserving relationships, resolving entities, and producing audit-ready evidence that every record landed where it should, with the right values, in the right structure.
Five stages. Each one automated, repeatable, and auditable.
| Stage | Detail |
|---|---|
| Extract | Direct source-system queries - MS-SQL, REST APIs, file exports. No CSV intermediaries. Source data is queried at the structure level, not exported and re-parsed. |
| Transform | Entity resolution, field mapping, multi-pass normalisation. Configurable entity definitions, not hard-coded transforms. New entities added by definition, not by code. |
| Validate | Dual-test methodology - "right cost" (value reconciliation at header level) and "right things" (entity-level matching at line level). Every record tested against both criteria. |
| Load | Staged imports with dry-run capability. Exception triage before production load. Re-runnable without side effects. |
| Reconcile | Source-to-target audit with automated scorecards. Field-level diff. Severity-classified exception registry with root-cause tracking. |
The audit framework is not a post-migration add-on. It is built into the pipeline. Every run produces evidence.
Full ERP migration for a publicly listed multinational. NAV to NetSuite OneWorld. 41,232 active SKUs. Five source systems. Audit-ready from day one. Delivered on schedule.
Read the case studyRunning platform migrations with board-mandated deadlines. You need the data to land right the first time - and you need evidence that it did.
Audit-ready migration evidence for compliance. Opening balances, transaction history, and entity data that reconciles to source - with automated proof.
Daily work depends on data accuracy across systems. Pricing, inventory, supplier relationships, customer restrictions - none of it can be wrong on day one.
If you are moving between platforms and the data has to be right, we should talk.
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