Data migration
Move the data. Keep the meaning.
Plan, map, transform and reconcile legacy data before it becomes part of the next system.
A successful import is not the same as a successful migration.
Bring structure to the transition: understand the source, map it to the destination, make exceptions visible and agree what evidence will demonstrate that the result is correct.
What the work can include
Source-to-target mapping and transformation rules
Cleansing and duplicate-handling decisions
Trial migrations with exception reports
Reconciliation and cutover acceptance evidence
A practical approach
- 01
Assess source data, relationships and quality issues.
- 02
Agree mapping, cleansing rules and handling of exceptions.
- 03
Run trial migrations and compare expected and actual results.
- 04
Plan the cutover, validation and recovery approach.
Platform access, data volumes and recovery options must be assessed first. Do not send source datasets or confidential records with an initial enquiry.
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