Data migration · 9 min read
Plan a data migration systematically
Connect migration objects, accountability, test runs and cutover activities in an end-to-end plan.
Context
The underestimated complexity of data migration
Data migration combines data quality, mapping, large volumes and validation. A structured plan creates early clarity about objects, owners, test cycles and the final run.
- Migration planning and progress tracking
- Migration object catalogue
- Test-run documentation
- Coordination with cutover
Step by step
From starting point to a structured flow
Capture migration objects
Create a catalogue of all objects to be migrated, such as customers, vendors or materials.
Assign accountability
Assign a business and technical owner to each object.
Plan test runs
Plan several test migrations before the final run.
Track progress
Monitor the status of all objects in a shared view.
Integrate cutover
Connect migration activities to the go-live checklist.
From practice
Implementation notes
- Start data cleansing early.
- Document mapping rules in a traceable way.
- Plan several complete test migrations.
- Involve business teams in validation early.
Your project