Data Migration Services
Data migrations that actually land on the weekend.
Cloud, warehouse, CRM and ERP data migrations for UK businesses. We plan for the boring things first, so cutover weekend is uneventful and the reports still balance on Monday morning.
A data migration is not really a technology project. The technical work usually accounts for less than half the risk. The other half sits in data quality, mapping decisions, user communications, cutover planning and the reconciliation that lets the finance director sleep on the Sunday night before go live. We design our data migration services around the whole picture, not just the extract, transform and load pipeline.
We have delivered migrations off legacy on premise SQL and Oracle estates into Microsoft Fabric, Azure Synapse, Snowflake and Databricks. We have consolidated Salesforce, Dynamics and HubSpot into single customer records. We have moved reporting off SAP Business Objects and Cognos into Power BI without losing anyone in the transition.
None of that is easy, but almost all of it is predictable if you plan for the parts that people usually skip.
Types of migration we run
Common shapes of engagement.
Warehouse and platform
On premise SQL Server or Oracle to Microsoft Fabric, Synapse, Snowflake or Databricks. Includes model redesign where it is worth doing at the same time.
Reporting platform
SAP Business Objects, Cognos, MicroStrategy or legacy Tableau estates into Power BI. Report by report, with a proper communications plan.
CRM and ERP moves
Data side of Dynamics 365, Salesforce, NetSuite, Business Central and Sage rollouts. Deduplication, mapping and cutover, coordinated with the functional partner.
Legacy decommission
Extracting and archiving from systems being switched off, in a format that keeps a business or regulator happy for the retention window.
Regulated data
PCI, healthcare and financial services migrations run with proper controls: encryption in transit and at rest, audit logs, dual sign off on production runs.
Ongoing sync
Two speed migrations where old and new systems have to run in parallel for a period. Change data capture, sync jobs and reconciliation reporting.
How a migration runs
Six phases we insist on.
We do not skip any of these, even on smaller migrations. Every migration that has quietly gone wrong for a client before we arrived missed one of them.
Discovery and profiling
What is really in the source, not what the documentation says. Row counts, quality metrics, edge cases, sample audits with the business.
Mapping and design
Written mapping document signed off by data owners. Target schema agreed. Explicit list of the things we are choosing not to migrate.
Build and test
Pipelines built with test coverage. Multiple full dress rehearsals against production sized data, not just a subset.
Reconciliation
Row counts, control totals, hash checks. Business sign off on samples before cutover. A living reconciliation dashboard, not a spreadsheet emailed round.
Cutover
A rehearsed runbook. Freeze windows, communications plan, defined rollback triggers, on call rota. Cutover is usually a quiet weekend if the first four phases were honest.
Hypercare
Two to four weeks of monitored operation, quick fixes, and a formal handover to whoever owns the platform.
Get started
Planning a migration? Let us pressure test the plan.
A short call, an honest view on scope, timeline and the risks that tend to bite. Whether or not we end up delivering it, you will leave the call with a better plan.