Migration route

    Microsoft Dynamics 365→Oracle Fusion

    Microsoft Dynamics 365 to Oracle Fusion Data Migration

    Migrate financials, procurement, scm from Microsoft Dynamics 365 to Oracle Fusion Cloud Applications using a controlled process for extraction, mapping, transformation, validation, loading and reconciliation.

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    Migration overview

    Dynamics 365 Finance and Supply Chain to Oracle Fusion is a cross-vendor cloud ERP replacement, usually following a group standardisation decision rather than a functional shortfall.

    Because the source exposes data entities rather than raw tables, extraction is defined by the entity model — which is a cleaner starting point than a legacy on-premise ERP but a narrower one.

    Typical data scope

    Scope is agreed in discovery. On this route it usually covers:

    Financials

    Domain in scope for a typical Microsoft Dynamics 365 to Oracle Fusion programme.

    Procurement

    Domain in scope for a typical Microsoft Dynamics 365 to Oracle Fusion programme.

    SCM

    Domain in scope for a typical Microsoft Dynamics 365 to Oracle Fusion programme.

    Master data

    Domain in scope for a typical Microsoft Dynamics 365 to Oracle Fusion programme.

    Migration architecture

    One controlled pipeline, run as repeatable cycles.

    Microsoft Dynamics 365→DataMove→Transformation & validation→Oracle Fusion→DataVault reconciliation→DataLens

    Extracting from Microsoft Dynamics 365

    What the source platform makes available, and the constraints that shape the extraction design.

    Two different products under one nameDynamics 365 Finance and Supply Chain (the former AX/Operations lineage) and Dynamics 365 Sales/Customer Engagement (the former CRM lineage) have different data models and different extraction surfaces. Naming which one is in scope comes first.
    Dataverse and the Web APICustomer Engagement data sits in Dataverse, extracted through the Web API, OData, or Azure Synapse Link for volume.
    Data entities in Finance and OperationsF&O exposes data entities rather than raw tables, through the Data Management Framework — which is also how data goes back in.
    GUID keysRecords are keyed by GUID. As with any system that generates its own keys, they mean nothing in a target and relationships must be rebuilt through a cross-reference.
    Option sets and choice fieldsCoded values validate against option sets defined in the model, so those definitions are extracted as reference data.

    Source-to-target mapping

    A mapping workbook carries every field in scope from its Microsoft Dynamics 365 source through its transformation rule to the Oracle Fusion target object and field. It is reviewed and approved with the business before the production migration, and applied identically in every cycle so a decision made once is not re-made under cutover pressure.

    Transformation challenges on this route

    The differences between Microsoft Dynamics 365 and Oracle Fusion that create most of the work.

    Data entities define what can leave

    F&O exposes entities through the Data Management Framework. Where an entity does not cover a field, a custom entity is built rather than the table read directly.

    Financial dimensions to the Fusion chart of accounts

    Dynamics financial dimensions and Oracle's accounting flexfield segments encode the same intent differently, and the mapping follows a finance design decision.

    Legal entities to ledgers and business units

    Both platforms have opinionated enterprise structures; Fusion's legal entity, ledger and business unit model is built before transactional data is positioned.

    Customers and vendors to TCA parties

    Flat master records decompose into Fusion parties, party sites and relationships.

    GUIDs are not portable

    Source keys mean nothing in Fusion, so cross-references are carried deliberately where the legacy key retains audit value.

    How Oracle Fusion accepts the data

    Load order is part of the design, not an implementation detail.

    1. 1Pick the load mechanism per objectFBDI for Financials, Procurement and SCM; HDL for HCM and Payroll; ADFdi spreadsheets for small corrective loads; REST and SOAP for integration rather than bulk migration. The choice fixes the file format, so it is made before transformation is built.
    2. 2Build to the Oracle template exactlyFBDI templates are column-position-sensitive CSV. A shifted column does not raise a useful error — it writes a valid-looking wrong value, so generated output is validated against the template rather than inspected by eye.
    3. 3Load the enterprise structure firstChart of accounts, ledgers, legal entities, business units, cost centres and their value sets. Transactional data referencing a structure that does not exist yet fails at import.
    4. 4Load master dataSuppliers, customers and items become the reference points transactional records resolve against, carrying a cross-reference to the legacy key where it retains audit value.
    5. 5Upload and invoke the importFiles are zipped and uploaded to UCM; the Load Interface File for Import job stages them into interface tables; the object's import process promotes them into base tables.
    6. 6Work the interface-table rejectionsA row can pass the file load and still fail the import on a referential or business-rule check. Rejections are categorised, fixed in the transformation rules and reprocessed.
    7. 7Load transactional and historical dataBalances, open items and history, in the order the target's own validations require.

    Two stages, two failure modes. Source-to-file reconciliation proves the transformation was right; file-to-target reconciliation proves Oracle accepted it. Check only the first and a migration reports success while rows sit rejected in an interface table.

    Validation and reconciliation

    Validation before load

    Mandatory fields, referential integrity, format checks, business-rule validation and duplicate detection run on the prepared data, so problems surface as reportable exceptions rather than as failed loads in Oracle Fusion.

    Reconciliation after load

    Source counts, transformed counts, rejected records and target counts, with control totals where the data supports them. Every discrepancy is categorised so the migration is approved on evidence rather than assertion.

    Migration cycles

    The pipeline is run end to end more than once before anything touches production. A typical structure is a first rehearsal that surfaces the bulk of mapping and data-quality corrections, a second that applies them and demonstrates production readiness, and the production cutover itself. How many cycles a programme needs depends on data quality and scope, which is established during discovery.

    1. 1Mock / PPR 1First full extract, transform, load, reconcile and exception analysis. Expect the largest correction list here.
    2. 2Mock / PPR 2Corrections applied, re-extract, re-run. Intended to closely replicate the production migration.
    3. 3Production cutoverFinal extract, data freeze, load, reconciliation, business validation and sign-off.

    Common risks on this route

    Entity coverage gaps found late

    Prove entity coverage against the field list in the first cycle.

    Chart of accounts still in design

    Mapping against a moving structure means rework every cycle.

    Open-item scope undecided

    History belongs in an archive, not in the new ERP.

    How Syntra ETL supports this route

    DataMove

    Extraction, mapping, transformation and load preparation for Oracle Fusion.

    Explore DataMove →

    DataVault

    Source-to-target reconciliation, migration lineage and audit evidence for every cycle.

    Explore DataVault →

    DataLens

    Migration status, data quality and exception visibility across cycles.

    Explore DataLens →

    Related enterprise migration experience

    We have not published a case study for this exact route. These delivered projects are the closest relevant experience.

    Oracle EBS→Oracle Fusion

    Oracle EBS to Oracle Fusion data migration

    Financials, Procurement, SCM

    Case study available →    SAP ECC→Oracle Fusion

    SAP ECC to Oracle Fusion data migration

    Financials, Procurement, SCM, Master data

    Case study available →

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