Data Migration Planning

In the deploy phase, what does SAP recommend doing before the cut-over?

What does the "productive load and support" phase include after go-live?

Roughly how many phases does SAP differentiate for data migration, and what are the main ones?

What is SEAMAP used for in a data migration project?

What advantage does a three-system landscape give for data migration testing?

What is a productive load test (PLT) in data migration?

What is the purpose of the data cleansing phase?

What does the mapping phase of data migration produce?

Why should data migration be planned early rather than just before go-live?

Why can a new implementation (greenfield) be beneficial for data?

When should the data analysis phase start, and what does it cover?

Where do you get the migration templates used to prepare data for the cockpit?

How do the SAP S/4HANA data migration phases compare to other IT data migrations?

How does data migration relate to SAP Activate?

Which attributes are tracked for each migration object during planning?

What distinct SAP Activate roadmaps exist for SAP S/4HANA migration targets?

What does the validation phase of data migration check?

By when should data cleansing ideally be complete?

What is "paper mapping" in the data-migration mapping phase?

What is the difference between data cleansing and data cleaning?

Why does data mapping often slip into the realize phase rather than finishing in prepare?

What staffing best practice does SAP recommend for data cleansing in a migration?

Besides object type and complexity, what else does a SEAMAP migration-object inventory record?

Across which SAP Activate phases does the data-cleansing phase typically run?

Which SAP tool provides data-cleansing and data-quality functions for a migration?