William Delaney Consulting, Inc. will execute a full conversion migration of all master data and open transactions from the legacy system to Oracle EBS R12. This approach encompasses GL balances, AP open invoices, AR open items, FA asset register, inventory on-hand, and supplier and customer masters, with historical transaction data retained in the legacy system for audit purposes. The full conversion strategy represents the highest-effort migration path and requires allocation of 4–6 weeks for conversion program development and 2–3 mock cutover cycles.

Data quality remediation is the single largest execution risk for this migration. Current legacy system data contains known duplicates, invalid codes, and incomplete records. Data cleansing effort must comprise 30–40% of total migration timeline and must begin at project initiation rather than at conversion phase. Without proactive data quality management, post-go-live escalations will consume support resources and delay business stabilization.

The migration will utilize SQL*Loader and PL/SQL direct insertion to Oracle R12 Open Interface tables as the primary data loading mechanism. Formal error reporting and business owner sign-off on converted data sets before cutover are mandatory controls. Two mock cutover cycles are planned with a formal go/no-go decision framework and comprehensive post-cutover reconciliation by data set to GL trial balance, AP aging, AR aging, FA net book value, and inventory valuation.

Data migration design must separate legacy system data retention from Oracle R12 operational data through a defined cutover event that freezes legacy system activity and establishes a single source of truth in Oracle. Parallel operation of legacy and Oracle systems creates reconciliation complexity and extends cutover risk; therefore, a clean cutover date with brief system downtime is preferable to extended parallel operation.

All conversion programs must be fully documented before execution to establish the transformation logic that will inform future Fusion FBDI templates and support audit trail requirements. Business owner accountability is the primary control mechanism for data quality assurance. Formal sign-off by data stewards on converted master data and opening balances before cutover is mandatory and represents the single most effective action to prevent post-go-live data quality escalations.

Error detection and correction must follow a formal process: generate error report, review with business owners, correct data in staging environment, reload, and verify before any cutover event. No partial loads with unresolved errors are permitted.