Data Migration
Ensure your data is optimised for your new system
Smart Statistics is ultimately proud of its reputation for excellence when it comes to delivering trustworthy, accurate and complete data migrations. Including legacy databases to a new platform.
Data migration, in summary, is a process that moves information and records permanently from one computer storage system to another. And it might even involve a change of physical location, or file format, for the information you transfer.
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 customer's challenges through collaboration, engaging with them at every stage of a project from an initial study of existing systems to the 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 or risk.
Without their help, little more than a third of data migrations will prevail at the first attempt. However, that success rate rises to 82 per cent when implementing a complete data migration strategy devised with Smart Statistics as a partner.
DATA MIGRATION PROCESS
1. Discover
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.
Stakeholder Engagement - We identify all the project stakeholders and identify those highly interested, decision-makers and subject matter experts who can help guide and support the migration.
Scoping - We work with the stakeholders to agree on a list of headline requirements and a specification for the work.
Planning and Governance - We develop a project plan and project governance which will include a Data Quality Rules Programme and sign-off processes.
Commissioning - We commission the technology, teams and processes to enable the migration to commence.
2. Design
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.
Mapping - We perform mapping and transformational design from legacy data stores to target platforms which are facilitated by our Data Quality Rules process.
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.
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.
3. Test
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 reports to ensure all data can be accounted for.
Process Testing - We run end-to-end testing to ensure the process is error-free so we can iron out any potential issues.
UAT Testing - We support a full User Acceptance Testing programme and provide a helpdesk and defect resolution service throughout.
Performance Tuning - We optimise the process, code and technology to carry out the migration in the fastest possible time.
4. Deliver
Go-live - We steward the whole migration process and have staff available to immediately intervene if there are any problems.
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.
Integration with other technology - We are often asked to apply the data quality and transformation rules to other incoming data feed in the form of automated ETL or connection of the new platform out to data lakes and data warehouses.
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"We believe that the data will set you free. At the end of the day, it's about how you turn those pieces of information into insights that will improve business."