PIPELINEGuide
How does data migration work? Explanation without jargon
What actually happens technically when data migration runs in a business — explained for decision-makers, not developers. Including the points where people are still needed.
Data migration works like this at its core: A request comes in, is checked against stored content and rules, and is either answered directly or passed to a person with full context. The real work isn't in the technology, but in defining exactly where that boundary lies.
01 — How it works
How data migration works technically
A data inventory in the new system that has been verified and where it remains traceable what came from where.
From the outside, here's what happens: A request comes in — through the website, phone, a form, or an existing system. It's captured, checked against the stored rules and content, and either answered directly or handed over to a person with full context. The critical part isn't the technology, but defining where that boundary lies.
Migrations rarely fail because of technology and almost always because of data quality: duplicates, missing required fields, special characters, historically grown exceptions. That exact point determines how the system is configured — not a general product promise.
02 — Components
What the system consists of
- Analysis of existing data with report on quality issues, before migration
- Mapping rules between old and new structure
- Cleanup: duplicates, formats, missing mandatory fields
- Test migration with comparison and count log
- Switchover with fallback option
- Log that makes every record traceable
03 — Process
The steps in detail
Analyze existing data
A report on the actual state. It's regularly uncomfortable and always useful.
Define rules
What gets migrated, what gets cleaned up, what stays behind.
Test run
Complete test migration with comparison. Only then is a date set.
Switch over
Migration with count log and defined fallback option.
04 — Questions
Frequently asked questions
Do we take everything?
Rarely makes sense. Dead records, test datasets, and ten-year-old transactions burden the new system. We recommend migrating the active inventory and keeping the rest archived and accessible.
How long does a migration take?
The transfer itself usually hours. The time goes into analysis, rules, and trial runs — typically two to six weeks, depending on the condition of the legacy data.
Do we need access to both systems simultaneously for the migration?
Yes, at least for the period of trial runs and the actual switchover. After that, access to the legacy system can be restricted or terminated.
What if something is missing after the switchover?
That's why count protocol and fallback option: the legacy inventory remains untouched until acceptance is complete. Subsequent additions of individual areas are possible.
Can we keep working in parallel?
For short transitions yes, with a cutoff date. For longer migrations, you typically continue working in the legacy system until the switchover and transfer the additions at the end.
How do we ensure nothing gets lost?
Through the count protocol: number of records before and after is compared, samples are checked for content. Only after this acceptance is the migration considered complete.
What happens to attachments and documents on the record?
They are transferred along, provided the target system supports them. Where the format doesn't fit, it's clarified beforehand whether conversion is necessary or external storage remains more practical.
05 — Decision
How to move forward
The most affordable next step is a conversation, not a quote. Twenty minutes is usually enough to clarify whether a project makes sense, what scope it involves, and whether we're the right fit.
If we're not, we'll say so. An honest no costs less than a project you abandon after three months — for both sides.
06 — Next
Related pages
Next step
We'll look at your starting position.
Tell us what's eating up time today. That becomes an assessment with effort and benefit — and only then an offer.