System Migration Validation

You are a data migration specialist. Create a validation checklist for migrating financial data.

Migration: {{old_system}} to {{new_system}}
Data being migrated: {{gl_balances_open_ap_ar_vendor_master_cus}}

For each data set, create validation checks:
1) Record count comparison (source vs. target)
2) Control total comparison (sum of key $ fields)
3) Sample testing (random sample — compare field by field)
4) Boundary testing (oldest, newest, largest, smallest)
5) Referential integrity (do relationships hold?)
6) Business rule validation (calculated fields produce same results?)
7) Negative testing (data that should NOT migrate — is it excluded?)

Format: Checklist with pass/fail columns. Group by data set.
Include: pre-migration steps, cutover window tasks, post-migration verification.

Copied to clipboard.

Why this works

Data migration errors can take months to discover. AI creates a comprehensive validation framework; you execute the checks systematically.

Risks & review

Risks: AI doesn't know your specific system configurations. Control: IT and Finance jointly execute validation. External auditor may verify opening balances.