A staged, evidence-driven method: configure the tool, prove it across three main runs (the later ones at full volume) and many smaller delta runs, then execute a sequenced production cutover with hypercare, followed by a historical data load post go-live.
Syntra configured for the Fusion procurement scope — templates, mappings, target-schema validations and non-prod connectivity — and proven end-to-end on a small sample before any real data moved.
Three main transform-and-load runs into Fusion non-prod: the first on a representative dataset to prove the mappings, the next two at full production volume (including the 1M+ item master) to prove throughput and finalise the cutover runbook.
Between the main runs, many smaller delta runs loaded only the corrected and changed records, converging to a clean, reconciled load without re-running the full volume each time.
Production load executed per the runbook in the sequence Item → Supplier → Procurement → Finance, with per-wave reconciliation and a fixed hypercare window for tool-side reruns.
Post go-live, historical procurement transactions and attachments loaded to Fusion/UCM in document-type batches, with a final reconciliation pack.
Master data must exist before the transactions that reference it. Loading Item → Supplier → Procurement → Finance means that by the time purchase orders load, their items, suppliers and sites are already in Fusion — and by the time AP invoices load, their POs and suppliers exist too. Sequencing removes a whole class of “parent not found” failures.
Templates, value sets, mappings and the BU master were frozen at the start of each milestone. Later changes were handled as change requests, so in-flight work wasn’t invalidated mid-run.
Small “golden record” sets validated mappings before full-volume runs, catching setup issues cheaply.
Each milestone closed on a technical closure pack and a fixed acceptance window — decoupling delivery pace from long business sign-off cycles.
Syntra worked through PwC as the single operational interface, with a written audit trail for every dataset received and every sign-off requested.
The first main run proves the mappings on a representative dataset; the later main runs prove throughput at full production volume and finalise the cutover runbook. Between them, many smaller delta runs load only the corrected and changed records, converging to a clean, reconciled load without re-running the full volume each time — so production day holds no surprises.
Item → Supplier → Procurement → Finance, so every transaction’s referenced master data already exists in Fusion when it loads.
A historical data-load phase moved years of historical procurement transactions and their attachments into Fusion/UCM, reconciled and delivered as a closure pack.
Tell us your source EBS footprint, modules and business units — we'll scope a mock-run-based transform-and-load plan on the Syntra ETL platform.