Pre-built infor m3 data migration for Finance, SCM, Manufacturing, Inventory. M3 BE table extractors plus ION Connect APIs, multi-CONO crosswalks, FBDI / HDL emitters, lot/serial preservation, row-level reconciliation. Audit-ready evidence at every load.
The hard part isn't pulling rows from the M3 BE database. It's translating M3's multi-company, multi-currency, multi-language data model into Fusion's enterprise structure without losing the lot/serial chain or the SAF-T audit lineage.
Infor M3, evolved from Movex and Intentia, presents a database-centric model: thousands of tables organised by prefix family (MMS movement, CMS configuration, CRS reference, OOL/OOS/OOH sales, MMO/MWO manufacturing, MITMAS/MITBAL inventory, FGL/FAP/FSL finance). Every transaction is anchored by CONO (company) and DIVI (division), with multi-language descriptions in companion tables and multi-currency at three posting layers (transaction, posting, statutory).
Every infor m3 data migration to Oracle Fusion has to bridge those gaps without breaking the lot/serial genealogy that lets a recall trace from sold-finished-good back to received-raw-material, and without losing the SAF-T-relevant audit lineage that connects every GL posting to its source M3 document. Custom JDBC extractors and one-off transformation SQL can do it — but every domain becomes a multi-week negotiation between functional, technical and compliance teams. Syntra ETL replaces that with pre-built crosswalks refined across dozens of M3 conversions.
The same engine handles three deployment scenarios: full M3 replacement (Finance + SCM + Manufacturing → Fusion), Finance-only migration with M3 Manufacturing kept on-premise (common when the shop floor team isn't ready for a cloud manufacturing platform), and the consolidation pattern where M3 Finance moves first ahead of a full SCM and Manufacturing migration in a later phase.
The transformations Syntra ETL ships pre-built. No custom JDBC scaffolding, no multi-month bespoke conversion development.
Every row tagged with source CONO and DIVI, crosswalks per company, FBDI batches segmented per Fusion BU. Multi-org reconciliation produces clean per-entity evidence packs without bleed.
CMS-style per-language tables collapsed into Fusion's Item translation table and TCA Party Name translations. No description gets lost when an Italian customer changes their company name.
Transaction currency, posting currency and statutory currency preserved per document. CRS055 exchange rate history archived, M3 rate types preserved as DFFs for forensic traceability.
MITLOC/MITALO genealogy preserved end-to-end. Source lot → manufacturing consumption → finished lot → shipped lot chain replayed into Fusion Inventory and SCM for recall traceability.
M3 voucher chains (the audit-relevant document numbering that ties GL postings to source AP/AR/inventory documents) preserved for SAF-T and HGB statutory evidence.
Oracle-validated FBDI Item Import, Supplier Import, Customer Import, GL Journal Import, AP/AR Invoice Import, PO/SO Import, plus HDL for any HCM-fed worker context — all schema-validated locally pre-submission.
A repeatable load order that respects Fusion's data dependencies. Skip a step and your sales order load fails on missing items or missing customers.
Fusion enterprise structures, ledgers, BUs, COA segments, item master setup, inventory orgs, payables/receivables system options configured. Loaded via FSM tasks — not user-facing data, but everything downstream depends on it.
Items (FBDI Item Import), customers (FBDI Customer Import), vendors (FBDI Supplier Import), COA values (FBDI Chart of Accounts Mapping), currency rates (CRS055 history) — loaded in dependency order per CONO.
Open AP invoices (FBDI AP Invoice Import), open AR invoices (FBDI Receivables Import), open POs (FBDI PO Import), open SOs (FBDI Sales Order Import), inventory on-hand (FBDI Inventory On-Hand Import) per warehouse per CONO.
Lot and serial chains (MITLOC) bound to Fusion Inventory items, batch genealogy preserved through Fusion SCM, FDA Part 11 signatures attached. Recall traceability validated against source M3 chains.
Closed AP/AR/GL/inventory for the operational window (typically current FY + prior FY) loaded if Fusion is the target archive; older history routed to long-term M3 cloud archive. Either way, queryable for SAF-T and HGB audit during full retention.
Final delta replay, parallel-month reconciliation, sign-off pack (trial balance, AP aging, AR aging, inventory valuation, lot/serial counts — M3 vs Fusion to the cent and to the lot). Production cut to Fusion.
Every infor m3 data migration load produces signed drill-downable reconciliation reports.
Source M3 record count vs Fusion-loaded record count per CONO per entity. Items, customers, vendors, journals, orders reconciled separately. Variance threshold zero.
GL trial balance per period per CONO, AP open per supplier, AR open per customer, inventory value per warehouse — reconciled M3 vs Fusion. Variance flags surface before any subsequent load is allowed.
Each record content-hashed at M3 source and re-hashed post-Fusion-load. Hash drift indicates transformation bug or corruption — surfaced with row-level diff and exact field-level cause.
M3 trial balance per period per CONO vs Fusion Trial Balance, drillable to journal line, AP/AR subledger entry and originating M3 voucher.
Lot and serial count per item per warehouse reconciled M3 vs Fusion. Genealogy chain integrity verified by replaying recall queries on both sides — output must match.
SAF-T-relevant audit lineage (GL line → subledger → source document → attachment) preserved end-to-end. Spot-check sampling validates lineage integrity post-load for HGB and EU country schemas.
Infor m3 data migration is the process of moving master data (item master MITMAS, customer master OCUSMA, vendor master CIDMAS, COA CRS630), open transactional data (sales orders OOL/OOS/OOH, purchase orders MPL, manufacturing orders MMO, AP/AR balances FAP/FSL), and historical data (GL postings FGL, invoice history, lot/serial chains MITLOC) from your Infor M3 Business Engine environment into Oracle Fusion Finance, SCM and Inventory. The technical heart is dual-path: streaming structured records through ION Connect APIs where they exist, and high-volume table extraction from the M3 BE database (Oracle or SQL Server backend) for everything else. Syntra ETL handles both with pre-built extractors, governed crosswalks for M3 multi-language and multi-currency, and Oracle-validated FBDI / HDL / REST output.
The terms get used interchangeably, but the distinction is useful: infor m3 data migration is the end-to-end project (extract + transform + load + reconcile + cutover), while conversion is the transformation layer specifically. Syntra ETL's M3 conversion engine ships pre-built rules for MMS/CMS/CRS table-family mapping, multi-language description routing, multi-currency document handling, COA segment translation, item-classification rationalisation, and lot/serial chain preservation. These are rules that on a consultant-led project would otherwise consume 4–6 months of bespoke JDBC and SQL development.
Most M3 customers run multiple companies (CONO) and divisions (DIVI) inside a single BE — a Nordic parent with German, French and Polish operating entities is a textbook case. The infor m3 data migration engine respects this from the first extract: every row tagged with its source CONO and DIVI, crosswalks driven per company so divisional COA differences don't bleed across the load, and FBDI batches segmented per Fusion Business Unit so multi-org reconciliation produces clean per-entity evidence. Inter-company balances (CRS165 and the linked FGL postings) are preserved with the original M3 inter-company transaction identifier carried as a DFF for forensic traceability.
Yes — and this is non-negotiable for food, beverage, fashion and pharma customers. M3 lot and serial traceability lives in MITLOC and MITALO with linked tables holding genealogy, attributes and quality results. Syntra ETL's M3 data migration extracts the full chain (source lot → manufacturing consumption → finished lot → shipped lot), preserves the M3 lot/serial identifiers as the canonical reference in Fusion Inventory and SCM, and binds the FDA 21 CFR Part 11 batch records (signatures, deviations, release evidence) through Fusion's quality and audit modules. Recall traceability — the killer test — works on day one in Fusion exactly as it did in M3.
Syntra ETL emits Fusion-native load formats for every M3 data domain: FBDI for Item Import, Supplier Import, Customer Import, GL Journal Import, AP Invoice Import, Purchase Order Import, Sales Order Import; HCM Data Loader (HDL) for any worker-side context where M3 personnel data has bled into approvals; and REST API payloads for incremental delta loads during parallel-run and post-cutover. Every payload is validated against the current Oracle Fusion 26x release schema before submission, so validation errors surface locally — not in a 4-hour Fusion ESS job that fails on row 47,000 of a 50,000-row item load.
Every record extracted from M3 BE is hashed at the source (per-row content hash plus per-set Merkle root). Every record loaded into Fusion is re-hashed post-load. The reconciliation engine compares counts (items, customers, vendors, journals, orders), sum totals (GL trial balance per period per company, AP open per supplier, AR open per customer, inventory value per warehouse), and hash signatures per CONO per period. Any record that fails Fusion validation is captured with the exact field-level reason ready for bulk fix. Output is a signed timestamped reconciliation pack: M3 trial balance vs Fusion trial balance to the cent, M3 AP aging vs Fusion AP aging, M3 inventory valuation vs Fusion inventory valuation — finance signs off directly.
Yes. After the initial bulk load, Syntra ETL captures M3 deltas via change-data-capture on the underlying database (Oracle CDC, SQL Server CDC, or M3-side audit-trail tables depending on tenant configuration) and replays them into Fusion through REST APIs. This supports the standard parallel-run pattern: M3 continues taking orders, posting invoices and reporting manufacturing for one or two period cycles while Fusion is validated to the cent. Once finance, supply chain, manufacturing ops and compliance sign off, new transactions cut to Fusion and the M3 BE moves to read-only archive mode. ION BODs are cut over to OIC at the BOD-receiver level during this window.
SAF-T (EU country-specific XML schemas — Portuguese SAF-T, Norwegian SAF-T, Luxembourg, French FEC, etc.) requires structured statutory export from the live ERP. HGB requires 10 years of German retention with auditable trace from posting back to source document. FDA 21 CFR Part 11 requires electronic-signature-bearing batch records for pharma and regulated food. Syntra ETL's infor m3 data migration preserves the full chain: Fusion GL line → AP/AR/Inventory subledger → original M3 voucher → original M3 document image where attached. Whether the historical evidence lands in Fusion's attachment store or in the long-term M3 archive, the read-access log is captured for SAF-T, HGB and Part 11 audit evidence. No reconstruction needed when auditors arrive.
30-minute call. Walk through your M3 volumes, multi-CONO structure, lot/serial depth and SAF-T/HGB obligations — leave with a concrete infor m3 data migration plan.