The situation
A large manufacturing and distribution enterprise has been running four regional SAP ECC instances for 18 years. Each instance was deployed independently, each has been customized extensively for its regional business model, and each has accumulated 18 years of data quality debt: customer master records duplicated across instances, material masters with conflicting descriptions and unit of measure conventions, vendor records that share names but not identifiers, and financial records with custom account structures never reconciled across the enterprise.
The move to SAP RISE — S/4HANA in the cloud, managed by SAP — is the biggest enterprise transformation in the organization’s history. The program has a defined go-live date, a fixed budget, and a board-level commitment to the timeline. What they have not yet resolved is the data question: which ECC data migrates, which consolidates, which retires, and how the 18 years of quality debt is handled without either delaying the program or migrating the debt forward into the system that was supposed to solve it.
Two previous enterprise data migration programs at peer organizations had failed publicly at cutover — one requiring a full rollback at 2:00 AM on go-live day, the other completing the cutover but producing an S/4HANA instance so full of referential integrity failures that financial close was unusable for 11 weeks. The migration team was determined to avoid both outcomes. They needed a data foundation that could tell them exactly what was in the source, govern every migration decision, and validate the destination before go-live, not afterward.
The solution
The PolyPhaze Knowledge Fabric™ deployed across all four ECC source systems and the target S/4HANA environment in the first 30 days of the migration program, before any migration decisions were made. Source profiling surfaced the complete inventory of what was actually in the ECC systems versus what the migration documentation assumed was there. The gap was significant: 847 entity conflicts across the customer master, material master, and vendor master, and 214 custom business rules embedded in ECC that had never been formally documented.
The Data Migration capability established a dual-namespace environment — the ECC source namespace and the S/4HANA destination namespace, each governed by the Knowledge Fabric, with reconciliation running continuously between them throughout the migration period. Every migration decision — which records migrate, which consolidate, which retire, which custom rules carry forward — was recorded as an atomic decision record with full rationale. If any migration choice was later questioned, the record of why it was made was available in seconds.
Entity resolution ran across all four ECC instances simultaneously, establishing the consolidated canonical identity for every customer, material, vendor, and financial entity before any record moved. The 847 entity conflicts were surfaced in the discovery phase: 312 customer duplicates with different payment terms across regional instances, 428 material masters with conflicting unit-of-measure conventions, and 107 vendor records where the same supplier operated under different legal entity names in different regions. All 847 were resolved, documented, and locked before the cutover window opened.
Referential integrity was enforced at the write level throughout the migration. The Verification layer evaluated every proposed write against the relationships, contracts, and Trust Score thresholds governing that class of data before it executed. No partial state entered the destination. Every write was atomic — completing cleanly or rolling back completely — and every write produced an immutable record.
The cutover reconciliation view ran continuously during the migration window: source record count versus destination confirmed, field-level diff on every critical element, exception queue surfacing every record that did not pass integrity checks in real time. The 43 exceptions that surfaced during the cutover were resolved within the maintenance window. None were discovered post-go-live. The destination Trust Score was 97.9% on the morning of day one.