CUTO · SAP Transformation Management
Clean data. Safe go-live. No last-minute surprises.
Data quality problems are a leading cause of SAP go-live delays. CUTO's Data Management app gives you full control over migration planning, validation, and harmonization—so issues get caught before they become blockers.
The problem
Why data migration derails so many SAP projects.
Source data sits across multiple legacy systems. The quality picture remains unclear until extraction runs. Duplicates appear in staging two weeks before go-live, validation failures spike, and the cutover window is put at risk.
Meanwhile, the migration team manages everything in spreadsheets—manually tracking which objects are ready, which are not, and who is responsible for each fix.
It is a familiar problem on nearly every SAP project, and it is entirely preventable with the right tooling.
Key features
Control the full data lifecycle.
Migration Catalog & Mapping
A central catalog of every data object that needs to move, including source system, migration approach, responsible team, and current status. Full mapping documentation stays in one place instead of ten spreadsheets.
Validation Engine
Automated rules validate source data before migration. Errors are classified as blockers, warnings, or informational, while a real-time dashboard shows pass rates by data object. Find problems early, while they are still inexpensive to fix.
Data Harmonization & Deduplication
Intelligent duplicate detection uses fuzzy matching. Side-by-side review helps your team select the Golden Record, and a four-eyes approval workflow prevents merges or deletions without proper sign-off.
Reconciliation & Quality Gates
End-to-end source-to-target reconciliation covers count, value, and completeness checks. A full audit trail provides documentation for every go-live sign-off.
Integrated with Project Management
Migration tasks and quality gates link directly to the project plan. A blocker in the migration catalog automatically surfaces in the project risk register, so nothing falls through the cracks.
How it works
From inventory to sign-off.
1. Catalog your data objects
Identify what needs to move, from which systems, and with which migration tools. Document mapping logic, assign ownership, and track everything in one place from day one.
2. Assess source data quality
Run validation rules against source data early in the project. Understand the quality picture before you are deep into the Realize phase.
3. Cleanse and harmonize
Deduplicate with fuzzy matching and define Golden Records through four-eyes approval. Ensure the data you migrate is the data you actually want in S/4HANA.
4. Migrate and validate
Execute migration runs and validate results against defined quality criteria. Track pass rates per object, run, and cycle.
5. Reconcile and sign off
Complete source-to-target count, value, and completeness checks. Sign-off is documented and traceable, clearing the way for go-live.
Product view
Data quality at a glance.
A product view is planned for the validation dashboard, showing pass and fail rates by data object with drill-down into error details. Final visual assets are pending.
Customer proof
Evidence from real migration projects.
A verified customer quote about preventing a go-live delay or finding a critical data quality issue before cutover will be added when real attribution and approval are available.
Related solutions
Data management in the project context.
Next step
Go live with data you can trust.
CUTO