GL trial-balance parity to the cent. ASC 606 deferred revenue rollforward. Multi-state sales tax matrix. AP/AR aging tie-out. Inventory on-hand by warehouse. FA register parity. Signed, hash-sealed audit pack that stands up to SOX, GAAP, IFRS and construction-specific audit testing.
Fusion FBDI returns a status code. A status code is not proof of accuracy. Acumatica data validation proves the Fusion target matches Acumatica source to the cent, to the row, to the supporting document.
Acumatica is the cloud ERP of choice for thousands of USA SMB and mid-market companies in distribution, manufacturing, construction, services and retail/eCommerce. After 10+ years of operations, your tenant carries 7+ years of journals, hundreds of thousands of AP Bills and AR Invoices, complex multi-state sales tax history, ASC 606 deferred revenue schedules, construction Pay Apps with retention liabilities, and inventory cost layers across multiple warehouses. The acumatica data validation discipline proves every one of these data domains reconciles between Acumatica source and Fusion target — not just at headline totals but at row level, at sample level, at document level.
Without rigorous acumatica data validation, you discover defects in month-end close two months after cutover — the worst time to discover anything. With rigorous validation, defects surface during the parallel-run window when there's still time to fix the mapping, re-run the converter and re-validate. The validation pack itself becomes the artifact you hand to your external auditor: signed, timestamped, hash-sealed, and pre-empting most substantive testing requests.
Syntra ETL ships acumatica data validation as a first-class engine — not as a tail-end check after the converter runs. Validation is configured during the mapping phase, executed continuously during dress rehearsals, refined during the final parallel run, and signed off as the gate before production cutover.
Each engine runs automatically against signed mapping rules, producing artifacts that feed the auditor's pack.
Acumatica trial balance extracted per period per ledger per Branch, Fusion equivalent extracted, aligned via signed mapping, variance computed. Zero tolerance on debit/credit totals — any variance explained or corrected.
Active recognition schedules reconciled: original amount, recognized-to-date, remaining-to-recognize, schedule pattern. Contract balance + contract liability rollforward generated for the cutover period.
State × jurisdiction × period matrix: taxable sales, exempt sales, tax accrued, tax remitted. Avalara/Vertex calculation models reconciled. Every state return for the post-migration period traceable.
AP aging by supplier by aging bucket; AR aging by customer by aging bucket. Source vs target reconciled. Discount terms and partial-payment allocations preserved.
Stock on hand by item by warehouse by lot/serial reconciled. Standard cost / average cost / specific cost layers carried over. Inventory valuation reports tie out.
AIA Pay App G702/G703 schedules reconciled. Retention liability balance reconciled. Subcontract commitments reconciled. Project actuals-to-date matched.
Validation is not a tail-end check. It runs continuously and gates production cutover.
First end-to-end migration into Fusion test pod. Acumatica data validation engine runs all six domain checks. First variance report generated. Mapping defects identified and fed back to mapping doc.
Defects from dress rehearsal 1 corrected in the acumatica to oracle fusion data mapping. Custom-field routing decisions revisited where analytical-equivalence checks failed. Mapping version 2 signed.
Re-run with mapping v2. Validation engine re-executes all six domains. Variance count drops typically by 80–90%. Remaining variances classified: expected (rounding) vs defect (correctable) vs design (sign-off).
Final dry run with full transaction volume. Validation pack generated end-to-end. Finance, operations, IT and audit leads review the pack. Outstanding items get explicit owners and resolution dates.
Acumatica continues taking transactions; Fusion runs in parallel. Delta replays validated. Period-end close in both systems. Side-by-side reconciliation: GL, AP, AR, inventory, FA, project — to the cent.
Final acumatica data validation pack signed: GL parity, ASC 606 rollforward, multi-state sales tax matrix, AP/AR aging, inventory on-hand, FA register, project actuals — all signed by finance, operations, IT, audit. Production cutover authorized.
Acumatica data validation produces a signed, timestamped, hash-sealed evidence bundle. Auditors typically sign off directly, eliminating substantive re-testing.
Period × ledger × Branch × Natural Account trial balance, Acumatica vs Fusion, with variance and explanation. Signed by Controller and CFO. SOX 7-year retention.
Contract balance rollforward, contract liability rollforward, performance obligation backlog — all reconciled. Disclosure-ready for 10-K and 10-Q footnotes.
50-state taxable/exempt/accrued/remitted, period by period. State sales-tax return reconciliation reference. Avalara/Vertex calculation logs preserved.
AP aging by supplier, AR aging by customer, period-end snapshot Acumatica vs Fusion. Discount-term and partial-payment reconciliation included.
50-row sample of each transaction type traced from Fusion line back to Acumatica originating document with hash signatures matching. Auditors love this — substantive testing pre-discharged.
Every domain reconciliation has named sign-off (Controller, AP Manager, AR Manager, Tax Manager, IT Lead, Audit Lead). Timestamped, hash-sealed, archived for the SOX retention window.
Acumatica data validation is the post-load reconciliation discipline that proves the Fusion target matches Acumatica source to the cent, to the row, to the supporting document — across every domain. After FBDI loads complete, the validation engine runs structured comparisons: GL trial balance parity (Acumatica vs Fusion, period by period, ledger by ledger), ASC 606 deferred revenue rollforward, multi-state sales tax accrual parity, AP aging by supplier, AR aging by customer, inventory on-hand by warehouse, fixed asset register net-book-value parity, and project actuals-to-date. Every variance is investigated and either explained, corrected or signed off — and the resulting evidence pack stands up to SOX, GAAP, IFRS and construction-specific audit testing.
Fusion FBDI loads complete with a status code, but a successful load is not proof of accuracy. A journal can load successfully and still post to the wrong COA combination because the mapping had a defect. A customer can load successfully but with the wrong credit limit. An AP Bill can load successfully but with the wrong distribution coding. Acumatica data validation goes beyond load status to verify: counts match (journals, invoices, orders, items), sum totals match by period by ledger by Branch, hashes match per record, content matches sample-by-sample to the originating document, and downstream computed values (aging buckets, sales tax accruals, deferred revenue rollforward) match the Acumatica equivalents within accepted tolerance.
The GL parity reconciliation is the cornerstone of acumatica data validation. The engine extracts the Acumatica GL trial balance for every period being migrated, broken out by Ledger, Branch, Account and Subaccount. It extracts the corresponding Fusion trial balance, broken out by Ledger, Legal Entity, Business Unit, Natural Account and Cost Center. Using the signed acumatica to oracle fusion data mapping it aligns the two views and computes period-by-period variance. Tolerance is set to zero on debit/credit totals — any variance must be explained (typically rounding on multi-currency translation) or corrected. Output: a period-by-period, ledger-by-ledger trial-balance parity matrix with auditor-grade sign-off blocks.
ASC 606 imposes specific recognition rules on multi-element arrangements, subscription billing, performance obligations and standalone selling prices. Acumatica's Deferred Revenue and Revenue Recognition modules generate the recognition schedules. The acumatica data validation engine extracts every active recognition schedule from Acumatica (Document Reference, Original Recognition Amount, Recognized-To-Date, Remaining-To-Recognize, Schedule Pattern), loads the Fusion equivalent via FBDI Revenue Management Import, then reconciles period-by-period. ASC 606 5-step disclosure tie-out (contract balance, contract liability rollforward, contract asset rollforward, performance obligation backlog) is generated for the cutover period — auditor signs off directly on the validation pack.
USA SMB and mid-market Acumatica customers carry significant multi-state sales tax exposure. Acumatica Tax Categories + Tax Zones (often integrated with Avalara AvaTax or Vertex) generate the sales tax accruals on AR Invoices. Post-migration, Fusion's Tax engine (often also integrated with Avalara or Vertex) generates the same accruals. The acumatica data validation engine reconciles state-by-state, taxing-jurisdiction-by-jurisdiction, period-by-period: taxable sales, exempt sales, tax accrued, tax remitted. Discrepancies are typically rounding or rate-effective-date mismatches that get corrected. Result: every state sales tax return for the post-migration period reconciles to the validation pack, which reconciles to the Acumatica historical record.
The auditor's pack is the deliverable of acumatica data validation: a signed, timestamped, hash-sealed evidence bundle that an external or internal auditor can use to discharge their migration-period audit testing. Contents: GL trial-balance parity matrix (period × ledger × COA, Acumatica vs Fusion); AP aging by supplier (source vs target); AR aging by customer (source vs target); inventory on-hand by warehouse (source vs target); FA register with net book value (source vs target); ASC 606 deferred revenue rollforward (source vs target); multi-state sales tax matrix (state × period, source vs target); 50-row sample of each transaction type traced from Fusion line back to Acumatica originating document with hash signatures matching. Auditors typically sign off on the pack directly, eliminating the need for substantive re-testing.
Some variances are expected and not defects — they get explained, signed off and recorded in the acumatica data validation pack. Common expected variances: rounding differences on multi-currency translation (typically pennies per ledger per period), Branch-aggregated balances that net differently because of Fusion's stricter inter-company accounting, period-end accruals reposted at cutover, tax rounding on lines that bridge between Avalara and Vertex calculation models. Each gets a written explanation, the variance amount, the rationale, and the sign-off block. Auditors much prefer this transparency to silently 'absorbed' variances.
Yes — and this is one of the highest-value catches. xRP custom fields on standard DACs often drive analytical breakdowns: customer hierarchy code, project profitability category, item commodity classification. If the mapping routed a custom field incorrectly (say, to a Fusion DFF when it should have gone to a COA segment), the GL parity reconciliation still passes (because GL totals don't depend on the custom field), but the OTBI-equivalent analytical reports show variance against the Acumatica Generic Inquiry baseline. The acumatica data validation engine includes analytical-equivalence checks against pre-cutover Generic Inquiry outputs to catch exactly this class of defect before users do.
Book a 30-minute call. We'll walk through your Acumatica close cycle, ASC 606 footprint, multi-state sales tax exposure, construction Pay App profile and audit history — and give you a concrete acumatica data validation plan with the six engines pre-configured for your tenant.