A successful load isn't the same as an accurate one. We run structured post-load validation and source-to-target reconciliation on every object in scope, so sign-off is based on evidence, not assumption.
Validation confirms migrated data is complete, accurate, and usable, checked record-by-record and field-by-field against the original source, with every discrepancy tracked to resolution.
Confirming every source record has a corresponding target record, with no silent drops during load.
Comparing critical field values between source and target to catch transformation errors that record counts alone won't reveal.
Every mismatch logged, categorized, and routed for correction, with a clear audit trail from issue to resolution.
A reconciliation report your team can present to stakeholders as evidence the object is migration-complete.
We agree which fields and thresholds matter most per object, based on business impact, not a blanket checklist.
Source and target data sets are compared systematically, at both record-count and field-value level.
Every mismatch is logged with root-cause notes and routed back to mapping, cleansing, or load as needed.
A final reconciliation report confirms the object meets agreed accuracy thresholds and is ready for cutover.
Want to see this process mapped to your object list? Talk to us →
Tell us the object scope and timeline, and we'll tell you exactly how we'd plug in.
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