Data Migration
Made Simple
with Euler.
From discovery to delivery, we specialise in trustworthy, accurate and complete data migrations.
Why migrate your data?
When would I need to migrate my data?
There are several reasons why you might need a data migration service, including:
- Replacing hardware, such as servers or storage devices, or decommissioning an old data centre
- Transferring on-site IT infrastructure to a third-party, cloud-based alternative
- Moving data within an application, or when introducing a new one
- Installing new software for customer relationship management (CRM) or enterprise resource management (ERP)
- A merger of two or more companies
We meet our customers’ challenges through collaboration, engaging with them at every stage of a project from an initial study of existing systems through to delivery of its replacement and ongoing support afterwards.
Our team of certified specialists simplify a complex process, using the latest industry methodology, to reduce failure risk.
Without their help, little more than a third of data migrations will prevail at the first attempt. However, that success rate rises to 78 per cent when implementing a complete data migration strategy devised with Euler as a partner.
Data migration process
Landscape Analysis
We identify and audit all of your data stores to assess data quality, relationships, business rules and accessibility to inform the design and provide an accurate scoping of the work.
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Stakeholder Engagement
We establish who all the project stakeholders are, including those highly interested, decision makers and subject matter experts who can help guide and support the migration.
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Scoping
We work with the stakeholders to agree a list of headline requirements and a specification for the work.
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Planning & Governance
We develop a project plan and project governance which will include a Data Quality Rules Programme and sign-off processes.
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Commissioning
We commission the technology, teams and processes to enable the migration to commence.
Approach
We set up the migration approach including training the internal teams, commissioning the migration controller, introducing version controls, creating the migration reporting and deploying the project management process.
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Mapping
We perform mapping and transformational design from legacy data stores to target platform which is facilitated by our Data Quality Rules process.
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Gap Analysis
We identify data from legacy systems with no home in your new platform, and gaps in your new platform that is not supported by legacy data.
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Development
We develop the transformation scripts in the form of an executable migration controller that pulls through all the source data and loads it into your target platform.
Code Testing
We perform peer review and package testing on all code to ensure it matches the data quality and transformation rules. We also run reconciliation testing to ensure all data can be accounted for.
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Process Testing
We run end-to-end testing to ensure the process is error free and so we can iron out any potential issues.
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UAT Testing
We support a full User Acceptance Testing programme and provide a helpdesk and defect resolution service throughout.
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Performance Tuning
We optimise the process, code and technology to carry out the migration in the fastest possible time.
Go-live
We steward the whole migration process and have staff available to immediately intervene if there are any problems.
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Post Launch Support
We warrant and support the migration following go live and run a helpdesk with responsive SLAs to identify and correct any defects that are discovered after go-live.
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Integration with other technology
We are often asked to apply the data quality and transformation rules to other incoming data feeds in the form of automated ETL or connection of the new platform out to datalakes and data warehouses.
Useful Resources
Data migration resources
Did you know that according to Experian, due to issues with data migration, only 46% of all…
Move a large volume of data within a very short timescale – within eight months of appointment…
In this whitepaper Rob Jones explains exactly why analysing your data landscape prior to starting your project…