Migration assessment
Review the data, source systems, destination requirements, and dependencies before defining the move.
- Source and destination assessment
- Dependency and data quality findings
- Migration scope and risk review
Data migration
Migrate data with integrity and continuity.
Move data from legacy systems, consolidate databases, or transition to a cloud environment. Plan mapping, transfer, validation, and cutover around data integrity and business continuity requirements.
What we do
Data migration from assessment to cutover.
Assess source and destination requirements, prepare data mappings, and execute a controlled transfer. Validate the migrated data and coordinate the transition with operational teams.
Data mapping and preparation
Define how records, fields, and relationships should transfer into the destination environment.
- Field and relationship mapping
- Cleaning and transformation rules
- Preparation of data for transfer
Secure data transfer
Move the agreed data using controls and a sequence suited to the systems and business operations involved.
- Access and transfer controls
- Phased or scheduled migration execution
- Progress and exception tracking
Validation and cutover
Check the transferred data and plan the transition to the destination with your operational teams.
- Record and integrity checks
- Application and compatibility testing
- Cutover and contingency planning
Post-migration support
Investigate issues and refine the destination setup during the agreed support period.
- Performance and configuration review
- Migration issue investigation
- Operating notes and handover
What you get
Validated data in the destination environment.
Move the information your business relies on while checking its integrity, preserving important relationships, and coordinating the transition with your teams.
Data in the destination your business needs.
Transfer agreed datasets into the new environment with mappings and transformations that reflect how the destination will use them.
- Mapped records, fields, and relationships
- Cleaning and transformation where needed
- Transfer progress and exceptions tracked
A move backed by reconciliation and testing.
Check accuracy, completeness, and compatibility so your teams can review the transferred data and understand any remaining issues.
- Record reconciliation and integrity checks
- Application and compatibility testing
- Documented exceptions and resolution findings
A transition connected to day-to-day operations.
Coordinate cutover around dependencies and continuity needs, then help your team work with the destination during the agreed support period.
- Cutover coordinated with operational teams
- Performance and configuration review
- Operating guidance and issue investigation
How we work
Assess, transfer, validate, and transition.
Plan the migration sequence around dependencies and continuity requirements. Check accuracy, completeness, and compatibility before coordinating cutover.
Assess
Understand sources, destination requirements, dependencies, and risks.
Prepare
Agree on mappings, transformations, transfer sequence, and validation criteria.
Move and verify
Execute the transfer and check accuracy, compatibility, and completeness.
Transition
Coordinate cutover and hand over the destination setup and findings.
Why it matters
Modernize your data environment without losing context.
Migration requires more than transferring records. Relationships, access controls, application dependencies, and continuity requirements shape the transition.
Simpler data operations
Consolidate fragmented sources in an agreed destination to reduce duplicate handling.
Controlled data access
Define access permissions and transfer controls for the information being moved.
Capacity for changing needs
Assess destination storage and access requirements against expected data volumes.
Application compatibility
Map data structures and test the records that applications need to use.
Reduced legacy dependencies
Move agreed data out of outdated platforms while tracking remaining dependencies.
Data protection requirements
Plan the transfer and destination controls around applicable handling obligations.
Where to start
Define the data move you need to make.
Identify the source systems, the destination, and the business operations that depend on the data.
Replace a legacy platform
Move data from an aging system while preserving the relationships teams rely on.
Consolidate databases
Bring information from multiple systems into an agreed destination and data structure.
Move data to the cloud
Plan the transfer around access, security, validation, and business continuity.
Prepare for a new application
Move and organize the data an application or analytics initiative needs to use.
Questions
Planning your data migration.
Answers about scope, existing systems, and delivery requirements.
What types of data can be migrated?
A project can involve structured databases and tables, unstructured files and documents, or semi-structured formats such as XML and JSON. The approach depends on the sources and destination.
How do you limit downtime?
The migration plan can use phased transfers, parallel processing, or off-peak scheduling. We choose a sequence around the systems and business operations involved.
How do you protect integrity and security?
We plan validation checks, access controls, and encryption for the data and systems involved, then verify the records in their new environment.
How are complex dependencies handled?
We analyze and map relationships between data elements, then define the transformations and checks needed to preserve them during transfer.
What happens after the move?
Post-migration work can include testing, performance monitoring, troubleshooting, and configuration improvements during the agreed support period.
Next steps
Plan your data migration.
Share the source systems, destination, and continuity requirements. We can help define the transfer and validation scope.