Pre-built Infor LN data conversion for Finance, Manufacturing, Projects and Supply Chain. Baan-table-aware extractors, multi-company crosswalks, FBDI/HDL emitters, row-level reconciliation. Audit-ready evidence at every load — HGB, IFRS, FAA, ITAR/DFARS.
The hard part isn't pulling rows from Baan-convention tables. It's reconstructing Infor LN's multi-company operational-financial architecture inside Fusion without losing intercompany traceability or aerospace chain-of-custody.
Infor LN, descended from Baan IV/V, presents a multi-company data model where Logistical Companies own operational data (items, warehouses, production orders) and Financial Companies own accounting (ledgers, currencies, journals) with N:M relationships between them, plus a 4GL Baan-script extensibility layer and tens of thousands of tables organized by package prefix. Oracle Fusion uses a different shape — Ledgers for accounting, Business Units for operational scope, Inventory Orgs for warehouse-level, and a 6-segment Chart of Accounts.
Every infor ln data migration to Oracle Fusion has to bridge those structural gaps without breaking the intercompany audit chain that links a GL journal in one Financial Company back to its originating production order in a different Logistical Company. Custom Baan-table SQL and one-off FBDI scripts can do it — but every domain becomes a multi-month negotiation between finance, manufacturing, projects, supply chain and IT. Syntra ETL replaces that with pre-built crosswalks refined across dozens of LN conversions.
The same engine handles three deployment scenarios: full LN replacement (Finance + Manufacturing + Projects + SCM → Fusion), Finance-only migration with operations kept on LN (common during multi-year programmes), and the consolidation pattern where LN Logistical Companies migrate independently company-by-company over a phased timeline.
The transformations Syntra ETL ships pre-built. No custom Baan-table SQL, no multi-month bespoke conversion development.
LN Logistical+Financial Companies walked, N:M boundary identified, deterministic Fusion target structure produced (Ledger per Financial Company, BU per Logistical Company, Inv Org per warehouse).
LN intercompany flows between companies reconstructed as Fusion intercompany journals with full traceability — including elimination entries for IFRS consolidation.
LN item-class hierarchy mapped to Fusion item categories, with attribute preservation (UOM, lot/serial control, ABC class, ITAR/DFARS classification) at the item-master level.
Production orders mid-build captured with operation status, material issue history, labor postings — migrated as in-progress Fusion work orders without re-keying.
LN project WBS (Project + Element + Activity) converted to Fusion PPM hierarchy (Project + Task + Sub-task) with budget, contract and progress carried forward.
LN's Baan-derived currency precision (5–6 decimal places for unit cost, rounding rules at line vs document level) reconciled to Fusion's 2–10 decimal precision without rounding drift.
A repeatable load order that respects Fusion's data dependencies across ERP/SCM/PPM. Skip a step and your sub-ledger load fails on missing chart-of-accounts segments.
Fusion enterprise structures, ledgers per LN Financial Company, BUs per Logistical Company, COA segments, calendars, currencies, item classes, work-center resources, project structures configured via FSM tasks.
Customers and suppliers (FBDI Trading Community Import), workers (HDL Worker.dat), item master with item-class and lot/serial setup (FBDI Item Import), warehouses, locations, work centers and BOMs in dependency order.
Open AP invoices and payments, open AR invoices and receipts, open POs and SOs, open production orders with operation state, open project commitments — migrated with full state context so operations resume on Fusion.
GL opening trial balance per Fusion Ledger per Financial Company, reconciled to LN closing balance per period. Historical GL detail loaded if Fusion is the operational archive; otherwise routed to long-term LN archive.
Closed AP/AR sub-ledger detail for the operational window, closed production-order history with operation and material trace, closed project actuals — loaded to Fusion or archive per retention policy.
Final delta replay, parallel-month reconciliation per company per ledger, sign-off pack (trial balance, AP aging, AR aging, production WIP, project WIP — LN vs Fusion to the cent). Production cuts to Fusion.
Every infor ln data migration load produces signed drill-downable reconciliation reports.
Source LN record counts (journals, AP invoices, AR invoices, production orders, POs, SOs, projects) vs Fusion-loaded counts per company per period. Variance threshold zero.
Debit, credit, quantity, amount and per-currency totals reconciled per company per ledger per period. Variance flags surface before any subsequent load is allowed.
Each record content-hashed at LN source and re-hashed post-Fusion-load. Hash drift indicates transformation bug or corruption — surfaced with row-level diff.
LN trial balance per Financial Company per period vs Fusion trial balance per Ledger per period, drillable to journal line and originating sub-ledger transaction.
LN production-order WIP per Logistical Company vs Fusion work-order WIP per BU. Material issued, labor posted and overhead applied reconciled to the cent.
LN project commitments and actuals per project per period vs Fusion PPM commitments and actuals. Earned-value, budget burn and forecast-to-complete reconciled.
Infor LN data migration is the process of moving GL ledgers, AP/AR sub-ledgers, fixed assets, production orders, BOMs, routings, project structures, sales/purchase orders, inventory transactions and item master from Infor LN (Baan-derived ERP) into Oracle Fusion ERP, SCM, PPM and EPM. The technical heart involves three streams: structured-record extraction via direct DB connection against Baan-convention tables (tcorda###, tdsls###, tdpur###, tisfc###), event-driven extraction via Infor ION subscribing to BODs, and metadata extraction from the LN Data Dictionary for customizations. Syntra ETL handles all three with pre-built infor ln data migration extractors, governed crosswalks for company structure and item classification, and Oracle-validated FBDI/HDL output.
The terms get used interchangeably, but the distinction is operational: migration is the end-to-end project (extract + transform + load + reconcile + cutover), while conversion is the transformation layer specifically. Syntra ETL's infor ln data conversion engine ships pre-built rules for company-structure flattening (Logistical+Financial Companies → Fusion Ledger/BU/Inv Org), COA segment mapping, item-class crosswalk, work-center-to-resource translation, project-WBS-to-PPM-structure conversion, and Baan-currency-precision handling. These are rules that on a consultant-led project would otherwise eat 4–6 months of bespoke Baan-table SQL and Fusion-template scripting.
LN's N:M relationship between Logistical Companies (operational entities, item-master scope, warehouse scope) and Financial Companies (ledger scope, currency scope) doesn't translate 1:1 to Fusion's Ledger/Business Unit/Inventory Org architecture. Syntra ETL's converter walks every active LN company combination, identifies the operational-financial boundary, and produces a deterministic Fusion target structure: one Fusion Ledger per LN Financial Company, one Fusion Business Unit per material Logistical Company, one Fusion Inventory Org per warehouse/plant within the Logistical Company. Intercompany flows between LN companies are reconstructed as Fusion intercompany journals with full traceability.
Custom Baan-script sessions and DD (Data Dictionary) extensions don't translate 1:1 to Fusion. What Syntra ETL does is inventory every active customization in the LN tenant — custom sessions, custom DLLs, custom tables, DD additions to standard tables — and classify each by business purpose: form personalization (now Fusion Page Composer), workflow logic (now BPM/AMX), report extension (now OTBI/BI Publisher), data validation (now Fusion validation rules). Approximately 30–50% turn out to be obsolete or duplicate native Fusion behavior; the rest get a Fusion-native rebuild plan that goes into the migration backlog. No customization is forgotten.
Syntra ETL emits Fusion-native load formats for every LN data domain: FBDI GL Journal Import for journals and trial-balance opening, FBDI AP Invoice/Payment Import for sub-ledger detail, FBDI AR Customer/Invoice/Receipt Import for receivables, FBDI Item/BOM/Routing/Work Order Import for manufacturing, FBDI Project/Task/Budget/Expenditure Import for PPM, FBDI Supplier/Customer Import for master data, plus REST API payloads for delta loads during parallel-run. Every payload is validated against the current Oracle Fusion 26x release schema before submission, so validation errors surface locally — not in a Fusion ESS job that fails on row 47,000 four hours into a critical load window.
Every record extracted from LN is hashed at the source per business key (company + ledger + period + journal + line, or company + production-order + operation, etc.). Every record loaded into Fusion is re-hashed post-load. The reconciliation engine compares counts (journals, lines, orders), sum totals (debit, credit, quantity by company by period) and hash signatures per business unit per period. Any record failing Fusion validation is captured with the exact field-level reason ready for bulk fix. Output is a signed timestamped reconciliation pack: LN trial balance vs Fusion trial balance per company per period to the cent. Internal audit signs off on the pack directly.
Yes. After the initial bulk load, Syntra ETL captures LN deltas via timestamp-based change-data-capture on each transactional package (tfgld, tfacp, tfacr, tdsls, tdpur, tisfc, tppdm) and replays them into Fusion through REST APIs. This supports the standard parallel-run pattern: LN continues taking operational transactions for 1–2 month-end cycles while Fusion is validated to the cent per company per ledger. Once finance, manufacturing, projects, supply chain and compliance sign off, new transactions cut to Fusion and LN moves to read-only archive mode. Infor ION integrations are re-pointed to Fusion APIs during the same window.
European LN customers carry German HGB 10-year retention, IFRS reporting obligations and country-specific SAF-T (Standard Audit File for Tax) export rules. Aerospace customers add FAA 14 CFR Part 21/145 maintenance records, configuration baseline traceability and ITAR/DFARS chain-of-custody. Syntra ETL preserves the full chain at every level: GL line in Fusion → AP/AR sub-ledger → originating purchase/sales order → production order → work-order operation → material issue → item-serial lot. Whether the historical record lands in Fusion or in a long-term LN archive, the read-access log is captured for HGB, IFRS, FAA and DCMA audit evidence. No reconstruction needed when auditors arrive.
30-minute call. Walk through your LN company structure, module footprint, historical depth and customization profile — leave with a concrete infor ln data migration plan.