SAP CONCUR DATA MAPPING

    SAP Concur to Oracle Fusion Data Mapping — Field by Field

    Pre-built concur data mapping for every standard object — Expense Report, Itinerary, Cash Advance, Mileage, Card Transaction, Allocation, Receipt. Custom Field routing through governed crosswalks. Every mapping reversible for audit.

    100+
    Pre-mapped source fields
    7 objects
    Expense, Itinerary, Cash, Mileage, Card, Allocation, Receipt
    Reversible
    Every mapping cross-referenced for audit
    YAML
    Versioned, source-controlled crosswalks

    What concur data mapping actually involves at the field level

    Translating Concur's Expense Report → Itinerary → Allocation → Receipt model into Fusion's Expense Report → Expense Item → Distribution → Attachment model — field by field, with audit-grade traceability for every routing decision.

    Concur's data model is shaped by its origins as a cloud-native T&E platform. Expense Reports contain Expense Entries, which contain Itemizations and Allocations. Receipts attach to Entries (or sometimes directly to Reports) with both image data and OCR-extracted metadata. Itineraries carry segment-level travel data (air, hotel, car, rail) that drives per-diem calculations. Cash Advances track money paid out before expenses are filed. Mileage logs capture point-to-point distance for vehicle expense calculations. Corporate-Card Transactions flow in as T-feeds from Amex/Visa/Mastercard.

    Oracle Fusion Expenses has a tighter, more normalized data model. Expense Reports contain Expense Items, which contain Distribution lines (the multi-way cost split rows). Attachments are managed through UCM. Corporate Card Transactions are a separate object that gets matched to Expense Items during entry. There's no native Itinerary, no native Cash Advance ledger separate from regular AP, no native Mileage log object — those concepts have to be translated, not lifted.

    Syntra ETL's concur data mapping is the governed translation between the two models. Every source field gets a routing decision: native target field, target DFF, COA segment, archive object or retired. Every routing decision is signed off in a versioned YAML crosswalk that ships as part of the project deliverables. When auditors test SOX controls post-go-live, the crosswalk YAML is the evidence document.

    The seven Concur objects mapped out of the box

    1
    Expense Report → ExpenseHeader
    28 mapped fields. Report ID prefix-preserved for cross-reference. State mapping table for ApprovalStatus → Status.
    2
    Expense Entry → ExpenseItem
    32 mapped fields. Expense-type crosswalk to Fusion Expense Template. Itemization handling for split entries.
    3
    Allocation → ExpenseDistribution
    12 mapped fields. Percentage-based rounding remainder explicitly assigned for repeatability.
    4
    Receipt → ExpenseAttachment
    Image binary streamed to UCM. ReceiptID preserved as SourceReference. OCR metadata used as validation cross-check.
    5
    Card Transaction → CorporateCardTransaction
    18 mapped fields. Card-program/BIN context flows to Fusion config, not the transaction record.
    6
    Itinerary → Per Diem + Archive
    Per-diem days drive Fusion Expense Item generation. Full itinerary detail archived for audit retrieval.

    The concur data mapping reference — Expense Report header fields

    The 28 source fields on a Concur Expense Report header and their Fusion ExpenseHeader destinations. The most common fields shown here; the full crosswalk ships as a project deliverable.

    📋

    ReportID → ExpenseReportNumber

    Source Concur ReportID preserved as a prefix on the Fusion ExpenseReportNumber. Format: CNCR-{ReportID}. Enables direct cross-reference from any Fusion expense report back to the original Concur report.

    👤

    EmployeeID → PersonNumber

    Concur EmployeeID translated to Fusion PersonNumber via the worker crosswalk loaded during HCM Data Loader prep. Workers without a matching Fusion record get a project-managed worker-creation queue.

    📅

    CreateDate / SubmitDate

    CreateDate → CreationDate (UTC), SubmitDate → SubmissionDate (UTC). Time zones preserved where Concur captures them; if not, UTC default applied. Both fields drive Fusion's age-based reporting.

    💰

    TotalAmount → ExpenseReportTotal

    TotalAmount in submission currency → ExpenseReportTotal. Reimbursement currency mapped separately to ReimbursementCurrencyCode. Exchange rate context preserved for multi-currency reports.

    ApprovalStatus → Status

    Concur ApprovalStatus (DRAFT, SUBMITTED, A_APPROVED, A_AUTHRZD, PAID, etc.) translated to Fusion Status via state mapping table. In-flight states preserved with approver chain via AMX.

    📋

    PolicyID → ExpenseTemplate

    Concur PolicyID (which drives which expense types and audit rules apply) translated to Fusion ExpenseTemplate via the expense-template crosswalk. Required field — no nulls allowed.

    The concur data mapping reference — Expense Entry and Allocation

    Entry-level and allocation-level fields. These drive the actual Fusion Expense Item and Expense Distribution rows that hit the GL.

    🏷️

    ExpenseType → Expense Template Item

    Concur ExpenseType (Meals, Airfare, Hotel, etc.) mapped to Fusion Expense Template Item via expense-type crosswalk. Drives natural-account derivation in the COA crosswalk.

    💵

    TransactionAmount

    Amount in transaction currency → ReceiptAmount. ExchangeRate preserved as part of the report. ReimbursableAmount calculated in Fusion via standard reimbursement rules.

    📅

    TransactionDate → ReceiptDate

    Concur TransactionDate → Fusion ReceiptDate. Drives period assignment for GL posting. Cross-validated against OCR.Date from the receipt image if available.

    📝

    Description → Description

    Concur Description (typically a free-text entry) preserved to Fusion Description. Truncated to 240 characters if needed; original preserved in the archive.

    🔀

    Allocation rows → Distribution rows

    Each Concur Allocation row becomes one Fusion ExpenseDistribution row. Percentage and Amount preserved. Cost-object fields routed via COA segment crosswalk.

    📊

    Custom Allocation Fields

    Customer-specific custom allocation fields (often project tags, internal orders, statistical accounts) routed to ExpenseDistribution DFFs via the Custom Field crosswalk.

    How the concur data mapping is built — six steps

    The crosswalk doesn't write itself. Here's how Syntra ETL builds the concur data mapping crosswalk YAML for a real customer.

    1

    Source Inventory — Day 1–3

    Concur tenant inventory via Admin APIs: every Custom Field, every expense type, every policy group, every workflow definition. Output: machine-readable JSON catalog.

    2

    Default Mapping Applied — Day 3–5

    Syntra ETL's standard concur data mapping defaults applied to all native Concur objects. 80% of fields auto-mapped on first pass. Output: crosswalk YAML draft.

    3

    Customer Workshop — Day 5–10

    Functional, technical and compliance leads walk every Custom Field, every overridden default and every routing decision. Decisions captured in the crosswalk YAML with owner and timestamp.

    4

    Sample Extract Validation — Day 10–14

    Sample of 500 expense reports extracted, mapped per the crosswalk, dry-loaded to Fusion non-prod. Field-by-field diff against expected output. Any mapping defect surfaces here, not in production.

    5

    Sign-off and Lock — Day 14–17

    Crosswalk YAML reviewed, signed off by finance, T&E ops, compliance and IT. Locked in source control. Version pinned to the project gantt.

    6

    Audit Evidence Package — Pre-cutover

    Crosswalk YAML, sample-extract validation report and sign-off pack assembled into the audit evidence bundle. Becomes the SOX testing artifact for the post-go-live audit.

    Frequently asked questions

    What is SAP Concur to Oracle Fusion data mapping?+

    Concur data mapping is the field-level translation between SAP Concur's data model — Expense Report, Itinerary, Cash Advance, Mileage, Card Transaction, Allocation, Receipt — and Oracle Fusion Expenses' data model — Expense Report, Expense Item, Distribution, Attachment, Corporate Card Transaction. Syntra ETL ships pre-built concur data mapping for every standard Concur object: Expense Report header → Fusion ExpenseHeader (with 28 mapped fields), Expense Entry → Fusion ExpenseItem (32 fields), Allocation → Fusion ExpenseDistribution (12 fields), Card Transaction → Fusion CorporateCardTransaction (18 fields). Customer-specific Custom Fields are mapped through governed crosswalks at project kick-off.

    How does Concur Expense Report data map to Fusion ExpenseHeader?+

    Concur Expense Report header maps to Fusion ExpenseHeader at the field level: ReportID → ExpenseReportNumber (with Concur prefix preserved for cross-reference), ReportName → Description, EmployeeID → PersonNumber via worker crosswalk, CreateDate → CreationDate, SubmitDate → SubmissionDate, TotalAmount → ExpenseReportTotal, ApprovalStatus → Status (via state mapping table), PolicyID → ExpenseTemplate via expense-template crosswalk, ReportTotalApproved → ApprovedAmount, ReimbursementCurrency → ReimbursementCurrencyCode, plus 18 additional fields. The concur data mapping is reversible — every Fusion field carries a reference back to the source Concur field for audit. Custom report-header fields route to Fusion ExpenseHeader DFFs through the Custom Field crosswalk.

    How does Concur receipt-image metadata map to Fusion attachments?+

    Concur receipts carry both image data and OCR metadata. The concur data mapping for receipts is: ReceiptID → Fusion ExpenseAttachment.SourceReference (preserved for cross-reference), ReceiptImage (binary) → Fusion attachment file via FBDI attachment metadata, ContentType → MimeType, UploadDate → CreationDate, ReceiptType → AttachmentCategory, OCR.Amount → captured as a validation cross-check against ExpenseItem.Amount, OCR.Vendor → captured for vendor matching, OCR.Date → ReceiptDate. The image binary itself is streamed to UCM (Oracle Content Server) and the FBDI Expense Report Import references it by the file path Syntra ETL emits. The full chain — GL journal → Distribution → ExpenseItem → ExpenseAttachment → original Concur ReceiptID — is preserved for IRS Pub 463 substantiation.

    How are Concur Allocations mapped to Fusion ExpenseDistributions?+

    Concur supports multi-way Allocations — a single expense entry split across multiple cost-centers, projects, internal orders. The concur data mapping converts each Allocation row to a Fusion ExpenseDistribution row. Field-level: AllocationID → DistributionLineNumber, Percentage → DistributionPercentage, Amount → DistributionAmount, CostObject1 (typically cost-center) → ChargeAccount segment via COA crosswalk, CostObject2 (typically project) → ProjectNumber via project crosswalk, plus any customer Custom Allocation Fields routed to Fusion ExpenseDistribution DFFs. Allocation rounding is reconciled — Concur's percentage-based allocations sometimes leave a 1-cent rounding remainder, and the concur data mapping rule explicitly assigns the remainder to the first allocation line for repeatability.

    How does Concur Itinerary data map to Fusion?+

    Concur Itineraries (segment-level travel data: air, hotel, car, rail) don't have a 1:1 Fusion equivalent because Oracle Fusion Expenses doesn't carry an itinerary module — it expects pre-trip approval and post-trip expense reporting. The concur data mapping routes itinerary data through two paths: (1) per-diem and meal calculations driven by itinerary days → Fusion Expense Item with appropriate Per Diem expense type; (2) full itinerary detail → Fusion archive object store, indexed by ReportID for audit retrievability. The customer keeps the audit trail (which is what regulators care about) without forcing a non-existent Fusion module. If the customer is using Oracle Fusion Travel and Expenses (when GA), itineraries map natively.

    How do Concur Custom Fields route in the data mapping?+

    Concur Custom Fields are configurable per-tenant fields appearing on report headers, expense entries, allocations and attendees. The concur data mapping handles them through a governed crosswalk built at project kick-off. Step 1: inventory every active Custom Field (name, type, level — header/entry/allocation/attendee — usage statistics, business purpose). Step 2: classify by reporting materiality — required vs optional vs analytical. Step 3: route — required fields collapse into Fusion COA segments where possible, optional fields route to the corresponding Fusion DFF (ExpenseHeader DFF, ExpenseItem DFF, ExpenseDistribution DFF), analytical-only fields route to OTBI dimensions via the archive. Every routing decision is signed off by finance and locked in the crosswalk before extract.

    How does Concur corporate-card transaction data map to Fusion?+

    Concur ingests corporate-card transactions as T-feeds from Amex/Visa/Mastercard with rich metadata. The concur data mapping converts each card transaction to a Fusion CorporateCardTransaction record. Field-level: TransactionID → CorporateCardTransactionId, CardNumber → CardNumber (masked, with cardholder PersonNumber via worker crosswalk), MerchantName → MerchantName, MerchantCategoryCode → MerchantCategoryCode, TransactionDate → TransactionDate, PostingDate → PostingDate, Amount → BilledAmount in original currency, ExchangeRate → ExchangeRate, ReimbursableAmount → ReimbursableAmount, ExpenseReportID (if matched) → ExpenseReportNumber for the matched expense report. Card-program and BIN range context flow into Fusion's corporate-card configuration, not into the transaction record itself.

    Is the concur data mapping configurable or hard-coded?+

    Every concur data mapping decision in Syntra ETL is configurable through a governed crosswalk — never hard-coded. Standard Concur object fields ship with default mappings refined across dozens of Concur migrations, but every default is overridable at project kick-off. The crosswalk file is a versioned, source-controlled YAML document with one row per source-field-to-target-field decision, an owner column, an approval timestamp and a rationale comment. When auditors arrive (internal audit during the project, external during SOX testing post-go-live) the crosswalk YAML is the evidence document — not screenshots, not undocumented SQL. Customer-specific Custom Field routing is the bulk of the crosswalk work, and gets the same governance.

    See the full concur data mapping reference

    Book a discovery call. We'll walk through your Custom Field design, expense-type catalog and policy groups — and produce a draft concur data mapping YAML scoped to your tenant in under 30 minutes.