Data migration
How do we move to a new system safely?
A data migration has only succeeded if nobody noticed it. That takes repeatable scripts, checks that put differences between old and new demonstrably in view, and documentation that stays with your team. The transfer itself is the smallest part of the work.
When do you need this?
A migration has only succeeded if nobody noticed it. That takes repeatable scripts, checks that surface differences, and documentation that stays with your team.
- Repeatable, verifiable migration
- Differences demonstrably in view
- Scripts and documentation stay with you
What happens if this is left alone
- The old system stays switched on because nobody dares to cut over, and you pay for two systems at once.
- History disappears during the move, and nobody notices until someone wants a three-year comparison.
- The migration becomes a months-long project that has to happen over a weekend, with every risk that brings, instead of a series of controlled steps.
Through which route do we deliver this?
The same field runs through different routes. Which one fits depends on the scope and duration of what is on the table.
Frequently asked questions
What usually goes wrong in a migration?
Not the transfer, but the proof that it is correct. Without a check that puts old and new side by side, somebody notices missing records weeks later.
Why must a migration be repeatable?
Because you run it several times: as a test, as a dress rehearsal, then for real. Manual work is by definition not repeatable and therefore not verifiable.
What do we keep afterwards?
The scripts and the documentation. They stay with you, so a next transfer does not have to be a new assignment.
Can it run alongside daily operations?
Usually yes. That is exactly why we work in repeatable steps: the real transfer is then short, because most of the work is already done and checked.
Are you a professional working in this field? Then have a look at the roles we fill and our vacancies.
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