Post-Migration Data Repair: Validating and Fixing Records After Go-Live
You thought the migration was done. Then the weekly pipeline pack, the aged-debtors report, or a client call exposed holes: mismatched fields, truncated contact data, and records that never landed. Silent data debt is now burning ops hours every week.
We run the structured validation-and-repair sprint that stops the firefighting.
Sound Familiar?
These are the exact symptoms CEOs and ops leads bring us weeks after a "successful" migration:
- Migration was declared done weeks ago, but board and ops reports keep revealing missing contacts, half-cut addresses, and mismatched account codes
- Sales dials truncated phone numbers and emails bounce because field lengths silently clipped during import
- Dropped child records (tasks, notes, line items) only surface when a client call or audit needs the history
- Finance and CRM totals no longer tie: VAT numbers, open invoices, and customer IDs drifted after cutover
- Ops spends evenings firefighting one-off fixes instead of running a structured post-migration repair sprint
Audit windows, POPIA reviews, and wrong contact data raise the stakes fast. Ad-hoc spreadsheet fixes feel cheaper until the same truncation and mapping bugs resurface every month. A structured post-migration repair sprint closes the debt once.
What Post-Migration Validation and Repair Actually Does
Find the defects, fix the records, reconcile the systems, then sign off so firefighting stops.
Baseline vs Live Diff
Compare frozen source exports to live CRM, ERP, and accounting data at field level
Classify Defects
Mismatches, truncations, and dropped records tagged by severity and business impact
Repair Under Control
Restore clipped fields, re-insert dropped children, correct mappings with audit trails
Reconcile and Sign Off
Totals tie across systems, exception list owned, written pack for leadership
Everything in the Post-Migration Repair Sprint
Field-Level Diff Validation
Source vs live target compared at field level so mismatches, truncated strings, and wrong type mappings stop hiding behind matching row counts.
Truncation and Encoding Repair
Names, addresses, notes, and IDs clipped by shorter target schemas are restored from the best available source, with encoding and locale fixes applied in the same pass.
Dropped Record Recovery
Silent skips, failed child loads, and orphaned line items are reconciled against the pre-cutover baseline and re-inserted with referential integrity intact.
Cross-System Reconciliation
CRM, ERP, and accounting totals are tied out: contacts, products, open invoices, and VAT fields so finance and sales work from one trusted set of numbers.
Exception Queues and Sign-Off
Every unrepaired edge case lands on a prioritised exception list with owners and deadlines. Your CEO gets a written pack when the sprint closes.
Ongoing Hygiene Gates
Post-repair sample checks and alert rules catch regression so the next import or sync cannot recreate the same silent debt.
Systems We Validate and Repair After Go-Live
From 18 Hours/Week of Firefighting to a Signed-Off Repair Pack
How a 60-person distribution firm closed 4,800 post-go-live defects across CRM and accounting in three weeks.
Migration Looked Done
- Vendor signed off on matching contact and invoice counts two months earlier
- Ops spent ~18 hours a week patching bounced emails, clipped VAT numbers, and missing order lines
- Board packs disagreed with Sage open-debtor totals by mid six figures each month
- Sales blamed "bad lists" while finance blamed "CRM junk" with no single defect register
- An upcoming POPIA readiness review made wrong contact data an executive risk, not just an IT niggle
Structured Validation-and-Repair Sprint
- Field-level diffs against frozen exports surfaced truncation on phone, address, and note fields first
- 4,800 mismatched, truncated, or dropped records repaired under change control with audit trails
- CRM and Sage customer and open-invoice totals reconciled to within agreed tolerances
- Exception queue of 62 edge cases assigned to named owners with deadlines
- Written sign-off pack delivered in three weeks; firefighting hours dropped to under two per week
Before vs After Post-Migration Repair
How It Works
From first conversation to signed-off repair pack in two to four weeks for most mid-market estates.
Map the Symptoms
Which reports broke, which systems are live, and what exports or backups still hold the pre-go-live truth.
Free Scoping Call
30-minute call with your CEO or ops lead to size the defect classes, urgency (audit, POPIA, cash), and sprint window.
Validate, Then Repair
We run field-level validation, recover dropped and truncated records, and reconcile CRM/ERP/accounting totals under change control.
Sign Off and Monitor
Exception list cleared or owned, written sign-off pack delivered, then light monitoring so silent defects cannot creep back.
Frequently Asked Questions
Our migration looked successful. Why do we still need post-migration data repair?
Because go-live success often means the import job finished, not that the data is trustworthy. Horváth research on SAP S/4HANA programmes found major quality defects after go-live in 65% of migrations. Row counts can match while phones truncate, VAT fields blank, and child records drop. Post-migration repair is for the period when reports start telling the truth the cutover weekend missed.
How is this different from pre-cutover validation or failed-migration recovery?
Pre-cutover validation proves integrity before you cancel the old system. Failed-migration recovery salvages a botched or half-finished cutover with dual systems of truth. This engagement assumes the migration already looked successful and you are live: we catch and fix mismatches, truncated fields, and dropped records that surface in production reports, audits, and day-to-day ops.
Which systems do you validate and repair after go-live?
We regularly work across Salesforce, HubSpot, Dynamics 365, Pipedrive, Sage and Pastel-linked estates, Xero, and custom CRM or ERP platforms. The same sprint pattern applies when accounting and operations systems drifted from the CRM after cutover.
How long does a validation-and-repair sprint take?
Focused mid-market estates often land in two to four weeks from scoping to sign-off. Narrow defect classes (truncation on a few high-volume fields) can close faster. Large multi-object CRM plus ERP estates with months of divergent edits take longer. We give a timeline after the first forensic sample, not a vague promise.
What about POPIA, audits, and wrong contact data?
Wrong or incomplete personal data after go-live is both an ops problem and a compliance risk. We prioritise contactability fields, consent flags, and identity keys that audits and POPIA reviews will scrutinise, and we document every repair so you have an evidence trail if regulators or auditors ask what changed.
How much does post-migration data repair cost?
Focused validation-and-repair sprints for mid-market CRM or accounting estates typically start around R35,000. Multi-system reconciliation with heavy truncation and dropped-record recovery usually lands between R55,000 and R140,000. Against post-go-live remediation industry sources put at roughly R800,000 to R3.3 million per serious incident, most clients recover the fee inside the first avoided firefight cycle.
Close Post-Go-Live Data Debt Before the Next Audit
If reports keep revealing holes after a migration that looked successful, you are not dealing with random user error. You are sitting on silent defects that ad-hoc fixes will never finish.
Tell us which systems went live, which reports broke, and how urgent the audit or POPIA pressure is. We will show you what a validation-and-repair sprint would cover for your estate.