Database Migration
Moving your data is not a copy-paste job. It's the one part of a rollout where a mistake is hardest to undo. We move your records, history and relationships into your new system carefully, in a way that keeps your data trustworthy from day one.
Where many rollouts quietly go wrong
Years of customer records, transaction history and operational data usually live scattered across spreadsheets, older software and paper trails. Migrating that into a new system is where many rollouts go wrong.
We treat migration as a distinct discipline with its own process, not an afterthought bolted onto implementation.
- Duplicate recordsThe same customer, entered three ways.
- Broken relationshipsOrders that no longer point to a customer.
- Missing historyFound by the team months later.
How We Approach a Migration
Five stages, in order. Nothing moves to the live system until the stage before it is done.
Data Audit
We review your existing data sources first, whether spreadsheets, legacy software or paper records, to understand what exists, what's duplicated and what's missing before deciding how to move it.
Clean Before You Move
Wherever possible, we clean and de-duplicate data before migration rather than after, since it is far easier to fix in the old system than inside a live new one.
Map Relationships, Not Just Fields
We map how records relate to each other, such as a customer to their orders and an order to its invoices, so those relationships survive the move intact, not just the individual data points.
Migrate in a Test Environment First
Data is moved into a sandbox environment and checked thoroughly before it ever touches the live system your team depends on.
Reconcile & Sign Off
Once migrated, we reconcile record counts and key totals against the original source with you, so you can confirm the data is complete before going live.
Everything between your old system and the new one
Legacy system data extraction
Pulling data out of your existing software, spreadsheets or databases in a structured, usable form.
Data cleaning & de-duplication
Identifying and resolving duplicate, incomplete or inconsistent records before they enter the new system.
Field & relationship mapping
Matching your old data structure to the right modules and fields inside the new system, preserving how records connect to each other.
Historical data migration
Bringing across past transactions and records so your team has continuity, not a system that starts from zero.
Sandbox testing & validation
A full test migration in a safe environment, checked and corrected before anything moves to production.
Reconciliation & sign-off
A joint review against the original data so you can verify accuracy before the migration is considered complete.
Every count checked against the source
Before go-live we compare record counts and key totals side by side with your original data. A row gets its tick only when both numbers match.
Sample figures shown for illustration.
Data quality is the real deliverable
A system is only as trustworthy as the data inside it. We treat data quality as the actual deliverable of a migration, not the act of moving files, so the reports your team pulls on day one are ones they can rely on.
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