PIPELINEGuide
Introducing data migration in the team without resistance
The technical part of data migration is rarely the problem. What implementations actually fail on lies with the people who are supposed to work with it — and that can be addressed in advance.
Resistance to data migration is almost never directed at technology, but at feared extra work or the concern of being replaced. Whoever does the affected process daily should be asked before implementation, not informed afterwards — and nothing should be introduced that requires additional data entry.
01 — Team
How to get the team on board
- Involve early, don't just inform early. Whoever handles the process daily knows where the exceptions are. This information only exists beforehand, not after go-live.
- Take resistance seriously. It's almost never directed at technology, but at extra work or the fear of being replaced. Both need to be addressed openly.
- Don't introduce anything that creates extra work. Systems that require additional data entry will be circumvented — and rightly so.
- Designate one person as the first point of contact. Not as ownership, but so questions don't fall through the cracks.
- Make success visible. If after four weeks no one knows whether it delivered results, what sticks is the memory of the disruption, not the benefit.
02 — Participation
What we need from you
- A contact person who can make decisions — not just forward them.
- Access to the affected systems, in time and not on launch day.
- Real examples from daily business — the messier, the more useful for testing.
- Two to four hours for coordination, distributed over the project duration.
- An answer to the question of what success means. Without it, nothing can be assessed afterward.
03 — Measurement
How you measure success
- Define the one number beforehand. Without a baseline value, nothing can be proven afterward. Two weeks of tracking is enough for a reliable reference point.
- Processing time per case. The most direct metric: How long does the affected process take today, how long afterward.
- Percentage of cases that complete without intervention. This ratio typically rises significantly in the first weeks when refinements are made — it's the best early indicator.
- External response time. How quickly does someone who inquires receive an initial binding answer.
- What you should not measure: Team satisfaction in the first two weeks. Every transition feels worse initially than it actually is.
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.
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.
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.
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.
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 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.
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 — Next
Related pages
- Data Migration — Overview
- Data migration — process
- Data migration — practical examples
- Data migration — duration
- Data Migration — Common Mistakes
- Data migration — where to start
- Data migration — contract and ownership
- Data migration — Cost-effectiveness
- CRM integration
- Custom software
- API Interfaces
- All guides
Next step
Let's talk briefly about whether this makes sense for you.
A twenty-minute conversation is usually enough to clarify whether a project makes sense. If not, we'll say so — that's cheaper for both sides than an offer nobody needs.