Continuous infor m3 data validation across extract, transform and load — row counts, sum totals, hash signatures, trial balance, lot genealogy, multi-currency three-layer. Zero variance threshold. Signed evidence packs auditors accept on sight.
The migration is only as trustworthy as the reconciliation evidence behind it. Spot-checking 50 invoices out of 4 million is theatre. Continuous row-level, sum-level and hash-level validation is what finance and audit actually require.
Consultant-led M3 migrations typically validate by sampling — pick 50 customers, 100 invoices, 30 sales orders, eyeball the data in Fusion against M3, declare victory. The problem reveals itself at the first audit when a single statutory report doesn't tie, or at the first recall when the lot genealogy chain breaks in Fusion but works in the archived M3. By then the migration team has been disbanded and the residual liability lands on the controller's desk.
Syntra ETL's infor m3 data validation engine replaces sampling with continuous, automated, zero-tolerance reconciliation. Every record extracted from M3 is hashed at source. Every record loaded to Fusion is re-hashed. Counts, sums, hashes, trial balances and genealogy chains reconcile to the cent and to the lot — per CONO, per period, per entity. Variances are captured with root cause and halt the load until fixed.
The output is a signed reconciliation evidence pack at every load — drill-downable from Fusion back to source M3 to source document — that satisfies Big 4 auditors, statutory inspectors (SAF-T, HGB, FEC), and FDA Part 11 investigators without rework. The validation pipeline is the difference between a migration that holds up under scrutiny and one that doesn't.
Five gates inside the pipeline plus the signed reconciliation pack at the end. Skip a gate, the load is rejected.
M3 BE record counts per CONO per table vs source-of-truth verification. Hash manifest signed with KMS private key. Audit-grade extract evidence at the source.
Crosswalk rules applied; staged data validated against the signed crosswalk register. CRS630 combinations mapped to Fusion six-segment combinations — every combination accounted for.
Generated FBDI/HDL/REST payloads validated against current Oracle Fusion 26x release schema. Errors surface locally with field-level diagnostics — before any Fusion ESS submission.
Per-CONO per-entity record counts and sum totals reconciled M3 vs Fusion. Variance threshold zero. GL trial balance, AP/AR aging, inventory valuation tied to the cent.
Lot/serial chain integrity verified by replay recall queries. Multi-currency three-layer reconciliation. SAF-T audit-lineage spot-check, FDA Part 11 signature integrity verified.
Per-load reconciliation report signed with KMS private key. Drill-downable from Fusion line back to source M3 voucher back to originating document. Audit-ready on day of issue.
Each load goes through this six-step validation cycle before finance is asked to sign off.
M3 BE extract runs, per-record content hash computed, per-partition Merkle root signed with KMS private key. Source record counts captured as the validation baseline.
Crosswalk rules applied per signed register. Staged data validated against crosswalk completeness (every CRS630 combination accounted for, every status code mapped, every UOM converted).
FBDI/HDL/REST payloads generated and validated against current Fusion 26x schema. Errors caught locally — no failed 4-hour Fusion ESS jobs on row 47,000 of a 50,000-row load.
Validated payloads submitted to Fusion ESS, monitored to completion. Per-batch success/failure status captured. Any Fusion-side rejection captured with the exact field-level reason.
Record counts, sum totals, hash signatures, trial balance, lot count and genealogy chain integrity verified M3 vs Fusion. Variance threshold zero. Exception report generated if any gate fails.
Per-load reconciliation deliverable signed with KMS private key. Per-CONO per-entity reconciliation, drill-downable lineage, multi-currency three-layer reconcile. Finance signs off.
Every load produces this deliverable. Per period it bundles into a sign-off-ready package finance and audit consume directly.
M3 trial balance per period per CONO vs Fusion trial balance, drill-downable to journal line, AP/AR subledger entry and originating M3 voucher. SAF-T audit lineage verified.
M3 AP open per supplier vs Fusion AP open per supplier. M3 AR open per customer vs Fusion AR open per customer. Aging buckets reconciled. Variance threshold zero.
M3 inventory value per warehouse vs Fusion inventory value per warehouse. Per item, per lot, per location. Costing-method preservation verified. Re-valuation runs identically on both sides.
Recall query replayed on M3 and Fusion for sampled finished-lots. Chain depth and lot identifiers match. FDA Part 11 signature evidence intact.
Transaction currency, posting currency, statutory currency reconciled per CONO per period. CRS055 history verified loaded into Fusion Currency Rates by date and rate-type.
Per-load manifest signed with private key in cloud KMS. Tamper-evident. Auditors verify signature against published public key. Accepted by Big 4 as primary migration evidence.
Infor m3 data validation is the post-extract, post-transform, post-load discipline of proving that what landed in Oracle Fusion matches what came out of M3 — at row, sum, hash, lineage and statutory levels. It is not a one-time UAT script. Validation runs as a continuous pipeline at every stage: source extract validated against M3 BE record counts and trial balances, staged data validated against crosswalk rules, FBDI/HDL payloads validated against Fusion schema, post-load Fusion data reconciled against source M3 to the cent and to the lot. Syntra ETL ships a validation engine that produces signed reconciliation evidence packs at each gate — and refuses to advance the load if any gate fails.
Every record extracted from M3 is hashed at source (per-row content hash plus per-set Merkle root). Every record loaded to Fusion is re-hashed post-load. The infor m3 data validation engine compares: (a) record counts per CONO per entity (items, customers, vendors, journals, orders, MOs, lots), (b) sum totals (GL trial balance per period per CONO, AP open per supplier, AR open per customer, inventory value per warehouse, lot count per item per warehouse), (c) hash signatures per partition. Any record that fails Fusion validation is captured with the exact field-level reason. Variance threshold is zero — not 'within 1%' — and the reconciliation pack is signed by finance before the next load is allowed to proceed.
GL is the highest-stakes validation domain. The infor m3 data validation pipeline runs per period per CONO: source M3 trial balance (from FGL postings, grouped by CRS630 combination, summed by period) compared against Fusion trial balance (post-load, grouped by Fusion six-segment combination via the signed crosswalk, summed by period). Variance threshold zero. The reconciliation drill-down is bidirectional — auditors can click from Fusion GL line back to source M3 FGL voucher and beyond to the originating AP/AR/inventory document. Inter-company (CRS165) postings reconcile per counterparty CONO pair. SAF-T evidence lineage is verified by spot-check sampling on every load.
Recall traceability is the killer test. The validation engine runs the same recall query on both sides: pick a sold-finished-lot in Fusion Inventory, walk the genealogy back to received raw-material lots, and compare the chain to the equivalent walk in M3 (sold finished lot → consumed-in-MO → MO output → consumed raw material). Output must match — same lot identifiers, same quantities, same chain depth. If it doesn't, the load is rejected. Lot count per item per warehouse is reconciled as a sanity-check sum. Expiration dates, manufacture dates, country-of-origin, supplier-lot and quality status are field-level validated on a 100% basis. FDA 21 CFR Part 11 signature evidence is verified intact.
Three layers means three reconciliations. The infor m3 data validation engine compares: (a) transaction-currency totals per CONO per period per currency (the source-document layer), (b) posting-currency totals per CONO per period (the functional-currency layer that drives the primary ledger), and (c) statutory-currency totals where the CONO has a separate statutory currency. Each reconciles M3 vs Fusion to the cent. CRS055 exchange-rate history is verified loaded into Fusion Currency Rates by date and rate-type. Historical re-revaluation in Fusion produces the same period-end results as M3 re-revaluation on the same dates — confirming the rate-history landed cleanly.
It stops the load and produces a structured exception report. The infor m3 data validation engine does not 'accept' variances or 'tolerate' tolerance bands — the threshold is zero. The exception report identifies: the failing entity (e.g. GL trial balance for CONO 100, period 2025-09), the variance amount, the failing dimension (Fusion combination vs M3 combination), and the most likely root cause classified by the diagnostic engine (crosswalk drift, missing source record, double-counted load, currency-rate mismatch, status-filter mismatch). Engineering fixes the root cause, reruns the validation gate, and only then advances. The full exception → fix → re-validation cycle is captured in the audit log.
Modifications that carry meaningful business data (custom item attributes, custom order fields, custom DFF extensions) are mapped to Fusion DFFs during data-mapping and validated like native fields. The infor m3 data validation engine reads the crosswalk register, identifies every modification-extended field that lands as a Fusion DFF, and runs row-level field-equality checks. If a customisation has been classified for retirement (data not migrated), the validation engine confirms zero migration of that field and produces evidence for the retire-decision audit log. Nothing about Modification Suite is left as 'we hope it worked' — every customisation-carried field has explicit validation evidence.
A signed, drill-downable reconciliation deliverable per load and per period. The pack includes: M3 trial balance per CONO per period vs Fusion trial balance (variance zero), M3 AP aging vs Fusion AP aging per supplier, M3 AR aging vs Fusion AR aging per customer, M3 inventory valuation vs Fusion inventory valuation per warehouse, M3 lot count vs Fusion lot count per item per warehouse, lot genealogy chain integrity verification per sampled finished-lot, multi-currency three-layer reconciliation per CONO per period, SAF-T audit-lineage spot-check, FDA Part 11 signature evidence integrity check. Signed with private key in cloud KMS. Big 4 auditors accept the pack as primary migration evidence without re-doing the work.
30-minute walkthrough. We'll run a sample reconciliation cycle on real M3-shaped data, show you the per-gate validation output, and walk through the signed evidence pack auditors accept on sight.