Data Migration
A system change often fails not because of the new system, but because of the old data: duplicates, inconsistent formats, outdated structures, missing mandatory fields and undocumented dependencies. Anyone who takes over this legacy baggage unchecked just moves the chaos into a new environment and delays the go-live.
We analyze the data landscape before the start. We build ETL pipelines that transfer data in a structured, validated and complete way, with rollback, gapless logging and documented restore processes. That way you stay in control at every phase and always know which record moved where.
How we work
We begin with a data analysis and a quality report that exposes problems and the need for action. On that basis we develop the transformation logic and test it in a staging migration with full validation. Only then do we carry out the go-live migration, verify the result and hand over the documentation.
What you get
- Data analysis and quality report
- Transformation logic for structure and format
- Staging migration with validation
- Go-live migration with rollback option
- Verification of the transferred data
- Gapless logging and documentation
