Pre-built PeopleSoft data conversion for every Financials, HCM, and SCM module. ChartField → COA crosswalks, effective-dated HCM history, FBDI/HDL emitters, row-level reconciliation. Audit-ready evidence at every load.
The hard part isn't moving rows. It's translating PeopleSoft's data model into Fusion's data model without losing meaning.
PeopleSoft and Oracle Fusion share an Oracle lineage, but their data models diverged years ago. PeopleSoft uses flexible ChartFields, SetID-based shared master data, effective-dated business records, and a delivered schema with tens of thousands of PS_* tables. Fusion uses a fixed 6-segment COA, business-unit-driven security, reference-data sets, and a Cloud-native schema accessed through FBDI/HDL/REST.
Every PeopleSoft data migration to Oracle Fusion has to bridge these gaps — and the bridging is where projects slip from quarters into years. Custom SQL written by hand can do it, but each table is a multi-week negotiation between functional, technical, and audit teams. Syntra ETL replaces that with pre-built crosswalks that have been refined across dozens of PeopleSoft conversions.
The same engine handles three deployment scenarios: full PeopleSoft replacement (Financials + HCM + SCM → Fusion), single-pillar migration (Financials-only or HCM-only), and the hybrid pattern where Campus Solutions stays on PeopleSoft because Fusion doesn't offer an equivalent product.
The transformations Syntra ETL ships pre-built. No custom code, no multi-month bespoke development.
PeopleSoft's flexible ChartFields (up to 30 user-defined plus delivered) collapsed into Fusion's fixed 6-segment COA. ChartField-usage analyser identifies material splits; non-material fields route to DFFs or PPM dimensions.
PS_JOB, PS_PERS_DATA_EFFDT, PS_COMPENSATION effective-dated chains walked per employee, converted to Fusion HDL worker/assignment/salary event sequences with full 15+ year history preservation.
PeopleSoft SetID-based shared master data remapped to Fusion's reference-data-set model. Security visibility preserved across BUs without bespoke role design.
Fuzzy-match de-duplication across PS_VENDOR, PS_VENDOR_LOC, PS_CUSTOMER. Hierarchical relationships preserved, payment terms migrated, supplier sites remapped to Fusion's address-driven model.
PS_ITEM master normalized to Fusion's item-class structure, category translations applied, costing methods migrated with full history per inventory org.
Current-year YTD balances and prior-year W-2/T4 data converted to Fusion Payroll HDL; full historical detail routed to Syntra archive for 7+ year IRS retention.
A repeatable load order that respects Fusion's data dependencies. Skip a step and your AP load fails on missing vendors.
Fusion enterprise structures, ledgers, BUs, COA segments, value sets, calendars configured. Loaded via FSM tasks or migration utility — not user-facing data, but everything downstream depends on it.
Chart of Accounts segment values, value sets, account hierarchies loaded via FBDI ChartOfAccounts and Value Set FBDI templates. Validated against PeopleSoft trial balance for parent-child integrity.
Suppliers (FBDI Supplier Import), customers (FBDI Customer Import), items (FBDI Item Import), employees + jobs (HDL Worker.dat + Assignment.dat). Loaded in dependency order — workers before assignments, vendors before vouchers.
GL period balances (FBDI Journal Import), AP open vouchers (FBDI AP Invoice Import), AR open invoices (FBDI AutoInvoice), open POs, asset CIP and in-service balances. Each load reconciled to PeopleSoft before next stage begins.
Closed-period historical data loaded if Fusion is the target archive, or routed to Syntra archive if cold-data lifecycle dictates. Either way, queryable for audit during the full retention window.
Final delta replay, parallel-close reconciliation, sign-off pack generation (trial balance, aging, asset register, worker headcount — PeopleSoft vs Fusion to the cent). Production cut to Fusion.
Every PeopleSoft data migration to Oracle Fusion load produces signed, drill-downable reconciliation reports.
Source PeopleSoft row count vs Fusion-loaded row count per table, per period, per business unit. Variance threshold zero for GL; configurable for archival domains.
Debit, credit, amount, quantity, and balance sums reconciled per period per ledger. Variance flags surfaced before any subsequent load is allowed to proceed.
Each record content-hashed at PeopleSoft source and re-hashed post-Fusion-load. Hash drift indicates transformation bug or corruption — surfaced with row-level diff.
PeopleSoft trial balance per ledger per period vs Fusion trial balance, drillable to journal line, sub-ledger source, and originating voucher/invoice.
Open AP voucher aging in PeopleSoft vs open AP invoice aging in Fusion, bucketed and reconciled by vendor; same for AR by customer. Internal audit signs the pack directly.
Active worker counts, terminated counts, departmental rollups in PeopleSoft vs Fusion. Salary and compensation totals reconciled per pay group.
PeopleSoft data migration to Oracle Fusion is the process of moving master data (ChartFields, vendors, customers, items, employees, departments), open transactional records (vouchers, invoices, journals, POs), and historical archives from PeopleSoft 9.2 into Oracle Fusion Cloud's Financials, HCM, and SCM pillars. The technical heart of the work is schema transformation: PeopleSoft's flexible ChartField model is collapsed into Fusion's fixed 6-segment Chart of Accounts; effective-dated PS_JOB rows are converted into HDL worker/assignment loads; SetID-based prompt tables are remapped to Fusion BU-driven security. Syntra ETL handles every transformation natively with governed crosswalks and Oracle-validated FBDI/HDL output.
The terms are used interchangeably in practice, but the technical distinction is useful: migration is the end-to-end project (extract + transform + load + reconcile + cutover), while conversion is the transformation layer specifically — the rules that turn PeopleSoft data structures into Fusion-shaped data. Syntra ETL's PeopleSoft data conversion engine ships with pre-built rules for ChartField collapse, vendor/customer de-duplication, employee effective-dated history flattening, asset book remapping, and SetID-to-BU translation. These are the rules that, on a consultant-led project, would otherwise consume 4–6 months of bespoke SQL development.
PeopleSoft HCM is effective-dated end-to-end: PS_JOB, PS_PERS_DATA_EFFDT, PS_COMPENSATION, PS_ASSIGNMENT all carry EFFDT and EFFSEQ keys. Fusion HCM is also effective-dated, but the HDL load format requires the history to be presented as a sequence of worker/assignment events, not as raw rows. Syntra ETL's HCM converter walks the PeopleSoft effective-dated chain per employee, identifies meaningful events (hire, promotion, salary change, transfer, termination, rehire), produces HDL-compliant event sequences, and validates each chain against Fusion's HDL business rules before load. Customers routinely preserve 15+ years of HR history through this path.
Yes — with a caveat. Fusion Payroll's HDL accepts in-flight balances, prior-period earnings/deductions/tax accumulators, and year-end W-2/T4 data needed for compliance continuity. It does not accept arbitrary historical pay cycles. Syntra ETL's approach: load current-year YTD balances and prior-year W-2/T4 data into Fusion (for compliance) and route the full historical payroll detail (PS_PAY_CHECK, PS_PAY_EARNINGS, PS_PAY_DEDUCTION, PS_PAY_TAX) to Syntra's PeopleSoft archive where it remains auditor-queryable for the 7+ year IRS retention period. This satisfies both Fusion's operational needs and historical compliance requirements without paying Fusion storage for cold data.
Syntra ETL emits all three Fusion-native load formats: FBDI (File-Based Data Import) ZIPs for Financials and SCM (GL_INTERFACE, AP_INVOICES_INTERFACE, AR_INTERFACE_LINES, etc.); HDL (HCM Data Loader) bundles for HCM (Worker.dat, Assignment.dat, Salary.dat, Element.dat); and REST API payloads for incremental delta loads, supplier portal updates, and real-time integration. Each format is validated against the current Oracle Fusion 26x release schema before submission, so validation errors are caught locally — not in a 4-hour Fusion ESS job that fails on row 47,000.
Every record extracted from PeopleSoft is hashed at the source. Every record loaded into Fusion is re-hashed post-load. The reconciliation engine compares counts, sum totals (debits, credits, amounts, quantities), and hash signatures per table, per period, per business unit. Any record that fails Fusion validation is captured in an error report with the exact field-level reason — ready for bulk fix or escalation. The output is a signed, timestamped reconciliation pack: PeopleSoft trial balance vs Fusion trial balance to the cent, AP aging vs AP aging, asset register vs asset register. Internal audit signs off on the pack directly; no rebuild needed.
Yes. After the initial bulk load, Syntra ETL captures PeopleSoft deltas via LAST_UPDATE_DTTM watermarks (or optionally GoldenGate / LogMiner CDC for high-velocity tables) and replays them into Fusion through REST APIs. This supports the standard parallel-run pattern: PeopleSoft continues taking production traffic for 1–2 close cycles while Fusion is validated against PeopleSoft to the cent. Once finance, HR, and audit are comfortable, traffic cuts to Fusion and PeopleSoft moves to archive-only mode.
PeopleSoft uses SetID and Business Unit for record-level security on most master data (vendors, customers, items, departments). Oracle Fusion uses a different model: Business Unit drives transactional security, and reference-data sets drive shared master data. Syntra ETL's converter analyses the PeopleSoft SetID-to-BU mapping, recommends a Fusion reference-data-set design, and applies it during transformation so vendors visible to PSFT BU 'US001' end up in the equivalent Fusion BU with correct security. The mapping is reviewed and signed off by both functional and security leads before any load.
30-minute call. Walk through your PeopleSoft data volumes, ChartField design, HCM history depth, and target Fusion pillars — leave with a concrete data-migration plan.