Migration route

    Microsoft Dynamics 365→SAP S/4HANA

    Microsoft Dynamics 365 to SAP S/4HANA Data Migration

    Migrate financials, procurement, master data from Microsoft Dynamics 365 to SAP S/4HANA using a controlled process for extraction, mapping, transformation, validation, loading and reconciliation.

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    Migration overview

    Dynamics 365 Finance to S/4HANA is a cross-vendor cloud ERP replacement into a greenfield SAP implementation, typically where a group consolidates onto SAP after an acquisition or a corporate standardisation.

    Scope is set by what S/4HANA needs. There is no conversion path from a non-SAP source, so the programme is a new implementation carrying selected data.

    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 SAP S/4HANA programme.

    Procurement

    Domain in scope for a typical Microsoft Dynamics 365 to SAP S/4HANA programme.

    Master data

    Domain in scope for a typical Microsoft Dynamics 365 to SAP S/4HANA programme.

    Migration architecture

    One controlled pipeline, run as repeatable cycles.

    Microsoft Dynamics 365→DataMove→Transformation & validation→SAP S/4HANA→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 SAP S/4HANA 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 SAP S/4HANA that create most of the work.

    Data entities to Migration Cockpit objects

    The source exposes entities and the target expects migration objects. Both are structured contracts, and the mapping is between the two contracts rather than between tables.

    Financial dimensions to SAP account assignment

    Dynamics dimensions become G/L account, cost centre and profit centre assignments — a finance design decision the migration maps onto.

    Customers and vendors to Business Partners

    The merge exposes duplication across populations Dynamics kept separate.

    Strict check-table validation

    SAP rejects values absent from its configuration outright, so every code family is proven before load.

    Number sequences on both sides

    Both platforms assign keys internally; whether a legacy key survives as an external reference is decided per object.

    How SAP S/4HANA accepts the data

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

    1. 1Settle the conversion approach firstBrownfield system conversion, greenfield reimplementation, or selective data transition. This determines the entire data scope, so it is decided before any mapping work begins.
    2. 2Business Partner conversion is mandatoryCustomers and vendors must arrive as Business Partners through Customer/Vendor Integration. This is where most conversions find their master-data problems: duplicate parties, number-range collisions between customer and vendor ranges, and records never clean enough to merge.
    3. 3Load through the Migration CockpitPredefined migration objects and templates cover the standard object set, with staging tables for higher volumes. Custom objects need their own migration object built.
    4. 4Enterprise structure, then masters, then transactionsThe same dependency order as ECC, against a target model where several structures have changed shape.
    5. 5Respect the changed modelAggregate and index tables are gone, material number field length is extended, and inventory aggregates are derived rather than stored. Interfaces and custom code that assumed the old shapes need finding before cutover, not after.
    6. 6Reconcile against the Universal JournalFinancial reconciliation is built against ACDOCA rather than the ECC structures, so existing reconciliation logic is rebuilt rather than reused.

    Business Partner conversion is the item that most often surprises a programme. It is mandatory, it exposes every historic duplicate between the customer and vendor masters, and it cannot be deferred past cutover — so master data is cleansed before conversion, not after.

    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 SAP S/4HANA.

    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

    Two structured models assumed compatible

    Entities and migration objects are both contracts, but not the same contract.

    Business Partner duplicates

    Cleanse ahead of conversion.

    Greenfield scope drift

    Without a firm history decision the programme drifts toward migrating everything.

    How Syntra ETL supports this route

    DataMove

    Extraction, mapping, transformation and load preparation for SAP S/4HANA.

    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.

    SAP ECC→SAP S/4HANA

    SAP ECC to SAP S/4HANA data migration

    Financials, Controlling, Master data, Logistics

    Case study available →

    Related migration routes

    Microsoft Dynamics 365→Oracle Fusion

    Microsoft Dynamics 365 to Oracle Fusion data migration

    Financials, Procurement, SCM, Master data

    View route →    SAP ECC→SAP S/4HANA

    SAP ECC to SAP S/4HANA data migration

    Financials, Controlling, Master data, Logistics

    Case study available →    Oracle EBS→SAP S/4HANA

    Oracle EBS to SAP S/4HANA data migration

    Financials, Procurement, SCM, Master data

    View route →    SAP ECC→Microsoft Dynamics 365

    SAP ECC to Microsoft Dynamics 365 data migration

    Financials, Procurement, Master data

    View route →

    Planning this migration?

    Tell us your source system, target platform, modules, data volumes and timeline. We can discuss the closest relevant migration experience and the recommended approach.

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