CUTO · SAP Transformation Management
SAP data migration — structured, validated, no surprises at go-live.
Data quality failures are the #1 cause of SAP go-live delays. CUTO gives migration teams a structured approach from source system inventory to go-live reconciliation — so problems surface in the Realize phase, not on cutover weekend.
Why data migration derails so many SAP projects.
Most SAP projects underestimate data migration until it's too late. You're pulling data from multiple legacy systems — ECC, third-party tools, spreadsheets — each with different formats, inconsistent quality, and duplicate records that nobody cleaned in years. Validation runs fail at Week 10 when they should have failed at Week 3. The reconciliation gap at go-live is only discovered after the cutover window has opened. And the data migration workstream — which should have been a parallel track with weekly checkpoints — was treated as a late-stage task. CUTO is built to prevent exactly this.
Build your migration catalog in CUTO — every data object, its source system, its target structure in S/4HANA, the migration tool, and the owner. Nothing is undocumented. Nothing falls through the gap between two workstreams.
Step 1: Capture Data Objects & Document Mapping
Step 2: Assess Source System Data Quality
Run your first data quality assessment against the source. CUTO tracks quality scores per object and flags problem areas for remediation before extraction begins.
Step 3: Deduplicate & Define Golden Records
Identify duplicate master data records across source systems and define the golden record logic for customer, vendor, material, and other master data. CUTO tracks deduplication progress and approval status per object.
Step 4: Validate Migration Runs
Track each migration run with pass/fail status, open exceptions, and progress against closure criteria. AI agents monitor run results and flag objects that need attention before the next cycle.
Step 5: Go-Live Reconciliation & Sign-Off
Before cutover begins, verify that migrated data matches source totals — count, value, and completeness checks per object. CUTO generates the reconciliation report for sign-off. No surprises on the other side.
CUTO Capabilities Used
- Datenmigration & Harmonisierung → /products/data-management/
- Risiko-Management → /products/project-management/
- Integration mit Testmanagement → /products/test-management/
- AI Data Quality Agent → /products/ai/ai-team-members/
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