Data migration – reimagined

Preserve valuable data, improve data quality and ensure a smooth transition to the new system.

When replacing legacy IT systems, during mergers, or when consolidating data assets, customer data must be transferred into new structures. These data are often simply copied over — but this is precisely where risks lurk. Different data sources need to be standardised, duplicates and erroneous entries detected and cleansed. Economically relevant information must be documented in an audit-proof manner, and the migration must be completed in a short time frame to minimise downtime. What looks technically straightforward at first glance is in reality a complex and critical process.

Requirements for sustainable data migration

Completeness

All essential data content from the source systems must be preserved in the target system.

Speed

The migration must be executed in a short time so that downtime for both source and target systems is kept to a minimum.

Traceability

It must be possible to trace where the data originally came from; all processing steps must be traceable.

Formatting

The target system determines the formats required for migration. The incoming data must be converted accordingly.

Duplicate-free

Identical customers from different data sources, as well as duplicates, must be merged to create a unified view of the customer.

Robustness

The migration process must be thoroughly tested and should be robust for productive execution, so that unexpected delays and errors do not occur.

Our Proven Migration Process

Analyse & Plan
Capture systems, carry out data profiling, define cleansing rules and mapping.
Automate
Process large data volumes with ETL, flag critical records.
Migrate & optimise
Execute full or delta migration with minimal downtime.
Productive migration
Transition to the target system.
Document & archive
Complete audit trail, reports, and research capabilities after project completion.

Your benefits at a glance

  • Optimal data quality 
    Correct, complete, and optimally structured data.
  • Automated processes 
    Minimise manual effort and sources of error.
  • Audit-proof documentation
    Complete logging of all migration steps.
  • Transparency and traceability
    Clear view of data, rules, and transformations.
  • Proven methodology 
    Tried-and-tested process from numerous projects.
  • Relief for your departments 
    Significantly reduces internal workload.
  • Short execution times on the key date 
    Fast migration with minimal downtime.
  • High reliability and robustness 
    Stable processes even with large data volumes.
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Contact reports

Get the most out of the available data.

A clean data migration is not a technical obligation — it is the foundation for smooth operations, valid analyses, and lasting customer relationships. Our migration process ensures that your data is transferred to the new system correctly, completely, and optimally structured.

Contact

Let’s work together to unlock the potential of your data – please get in touch.

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FAQ

Why is professional data migration so important?

Data migration is much more than simply “transferring” data. It provides an opportunity to clean and consolidate data. The data must be adapted to the structure of the target system. The entire process must be thoroughly tested to minimize data loss and avoid delays.

How is data quality ensured during the migration?

Through targeted data profiling, defined cleansing rules, and automated processes, incorrect, outdated, or duplicate data records are identified and cleansed. After automatic validation, migration data undergoes a manual review. This results in a consistent, up-to-date, and reliable database in the target system.

How do you ensure traceability and audit compliance?

All migration steps are fully documented and logged. This ensures that the origin of the data and how it was transformed can be traced at any time. This is particularly important for business-critical data and data subject to audit.

How long does a data migration take, and will there be any downtime?

By using automated processes and proven methods, the migration is efficiently planned and implemented. The goal is to complete the actual migration in as short a time frame as possible, thereby minimizing downtime for your systems. Typically, the production data migration—from exporting data from the source system, through preparation, to importing it into the target system—takes 1–2 days.