Data Migration & UAT Framework
Testing / Controls / Data
Data migration framework with validation, controls, UAT testing, and implementation oversight.
Legacy tracker→Staging→Dataverse
12,480
Rows
99.7%
Matched
38
Exceptions
UAT execution
TC-01 Field mappingPass
TC-02 DuplicatesPass
TC-03 Approval routeFail
TC-04 PermissionsPass
TC-05 NotificationsRetest
TC-06 Audit trailPass
TC-07 ReportingBlocked
- Overview
- A migration framework covering data validation, control checks, UAT tracking and implementation oversight through to sign-off.
- Problem
- Migrations risked silent data loss and untested edge cases, with defects surfacing only after go-live.
- System architecture
- Source extract → mapping → reconciliation checks → UAT case library → defect log → sign-off pack.
- Workflow
- Plan → mapping review → dry run → reconcile counts and values → UAT execution → defect triage → cutover.
- Tools
- Testing / Controls / Data
- Role
- Built the test case library and reconciliation checks, coordinated UAT with business users, and tracked defects to closure.
- Impact
- Defects found before cutover, with a documented evidence trail supporting sign-off.
- Implementation notes
- All interfaces shown are representative reconstructions using fictitious sample data. No internal names, documents or confidential metrics are published.