Successful data migration

Successful data migration

Mastering complex data migrations

Replacing an existing system with a new solution is only half the story. The entire data stock needs to be moved to the new system – a task which is not to be underestimated. Data migrations can be successfully mastered using the right strategy – with short downtimes and zero loss of data.

The following questions and challenges will no doubt be familiar to you:

  • How is it possible to migrate large amounts of data as fast as possible without disrupting live operations?
  • How can I prevent data loss in migration projects?
  • How can I ensure that complex data structures are correctly mapped in the new system?
  • How can I prevent my users from becoming dissatisfied after migration due to time-consuming manual aftercare?

How you benefit from professional data migration with doubleSlash

Successful data migration requires the involvement of all relevant technical and specialist departments as early as possible in order to manage the project professionally. It is particularly important for a migration service provider to understand your way of working as well as their own trade. This begins with a detailed requirements analysis, identifying and allowing for possible risks, and continues with providing intensive support after the migration has been performed.

Your benefits at a glance:

  • Elimination of data inconsistencies – clean data
    Duplicate data and other data errors often creep into the existing system. These can be identified and corrected during migration.
  • Prevention of intensive manual aftercare efforts
    Retroactive correction of migrated data and manual post-migration tasks should be kept to a minimum since they involve a heavy workload. The goal is to achieve a high rate of automation through repeated migration testing with near-production data. Open data inconsistencies and missing mappings are identified and added. 
  • Monitoring and automated reporting
    It is important to be able to make statements about the current status and level of success during and after a data migration. Monitoring and automated reporting are indispensable – especially for a live migration. The data is safeguarded by means of subsequent checks or smoke tests.
  • Minimal application downtime
    We plan our data migrations such that normal system operations are affected as little as possible.
  • Choose the migration strategy that best fits the application
    We address the specific requirements of our users and look for suitable solutions. The following questions need to be clarified: Can the migration be carried out during downtime or does it have to happen during normal operations? Should it be possible to perform a delta migration, where modified data is migrated again?
  • Data in the target system can be used as normal
    The most important goal of a data migration is to ensure correct usability of the data in the target system. We create a detailed migration concept and try to keep the period of parallel operation to a minimum.

The five steps of data migration

  • Analysis: Comparison of the source and target data models and definition of data mapping; data that is no longer relevant or qualitatively unusable is identified (during the repeated production-near test iterations, for example).
  • Implementation: Migration tools are set up for the highest possible degree of automation in the data migration as well as for monitoring and automated reporting.
  • Migration: Data from the legacy or source system is converted to fit the target data system, cleaned, enriched if necessary and then migrated to the target system.
  • Evaluation: After successful transfer of the data, a migration and performance report provides information about the migration, possible errors and the need for aftercare. Functional testing is performed by key users.
  • Aftercare: Previously identified problems, inconsistencies and errors can be checked and corrected in this step. The aim is to ensure the quality of the target system through intensive post-processing and correction, if necessary.

Example from the field

An automobile manufacturer was faced with the challenge of migrating their contract data from a product that was no longer supported to a customised solution. Sensitive contract data pertaining to several million customers needed to be migrated into a new data structure. The migration had to be carried out live during normal business operations with minimal disruption to customer activity. Open order processes were not allowed to be migrated. It was therefore necessary to schedule a delta migration.

The integrity of the migrated data was safeguarded by executing interface queries on the old and new systems and by performing a data comparison. A migration report listing all migrated customer and contract IDs was also required to notify neighbouring systems about the data migration.


Successful data migration – it’s all about the right technologies

doubleSlash understands the needs of the specialist department just as well as your IT needs. We always take a close look at where there are requirements and challenges that need to be mastered – and data migration is no exception.

We adapt fully to your technology stack. This involves looking at the source and the target system of the data to ensure that as few frictional losses as possible occur during the data migration. Different technologies are used depending on the type of data storage. We have extensive hands-on experience with the following technologies in particular:

  • Relational databases such as PostgreSQL, Oracle, MSSQL, MariaDB
  • File-based data storage such as Excel, XML, CSV, JSON




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We accompany you safely through your data migration

We will be happy to advise and support you on all aspects of data migration and assist with planning and implementation. Get in touch with us!