Data Migration

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Data Migration

What is Data Migration?

Application migration is the process of moving a software application from one environment to another, such as between data centres, from an on-site or remote server to a cloud provider’s hosting environment, or from the public cloud to a private cloud environment.

When is Data Migration necessary?

There are lots of reasons why the need for data migration can arise!

  • You’re modernising your legacy system and need the data migrated from the old system over to the new one.
  • Your data needs to be synchronised between the old legacy system and new system so that a side-by-side system rollout can occur.
  • You’ve got a new business application and want to integrate the data from an older application.
  • You’ve acquired a new subsidiary, or you’re merging and you need data to be moved from many systems on to one.
  • You’re moving your IT platforms to the cloud to help scalability and require data and application migration.
  • You’re moving data from an existing server to a new or existing storage system, or you’re consolidating data centrally.

Why a Data Migration Important?

Less successful migrations can result in inaccurate data that contains redundancies and unknowns. This can happen even when source data is fully usable and adequate. Further, any issues that did exist in the source data can be amplified when it’s brought into a new, more sophisticated system.
A complete data migration strategy prevents a subpar experience that ends up creating more problems than it solves. Aside from missing deadlines and exceeding budgets, incomplete plans can cause migration projects to fail altogether. In planning and strategizing the work, teams need to give migrations their full attention, rather than making them subordinate to another project with a large scope.

Knowing the data

Before migration, source data needs to undergo a complete audit. Unexpected issues can surface if this step is ignored.


Once you identify any issues with your source data, they must be resolved. This may require additional software tools and third-party resources because of the scale of the work.

Maintenance and protection

Data undergoes degradation after a period of time, making it unreliable. This means there must be controls in place to maintain data quality.


Tracking and reporting on data quality is important because it enables a better understanding of data integrity. The processes and tools used to produce this information should be highly usable and automate functions where possible.

Data Migration Strategy

When you’re considering adopting a new system, we understand how important a sound data migration strategy is. No company wants the uncertainty of huge amounts of downtime, business disruption or worse – the possibility of lost data.

With more than 20 years’ experience of managing complex data migration scenarios, you can rely on us to ensure the process goes smoothly.

Data Migration Process

The data migration phases we follow are:

  • Design : identify existing data sources, determine the requirements of the new system and how the data will be converted.
  • Extract : export all the data from existing source(s).
  • Cleanse : review the data and identify data issues, remove redundant or duplicated data, identify incomplete data and correct inaccurate data.
  • Load : import the cleansed data to the new system, either in one go or phased or in parallel.
  • Verify : test the data and validate upload success.