Describing Selective Data Transition


After completing this lesson, you will be able to Describe Selective Data Transition.

Describing Selective Data Transition

Besides performing an SAP S/4HANA Conversion with SUM, there are other possibilities to achieve an SAP S/4HANA Server system.

Principles of the migration strategy:

  • Analysis: Scan your system and capture scope of org-structure, data objects, custom tables including data volume etc.
  • Extraction: Selection of the relevant data according to the rules defined in the scoping phase. Data is read from the source system without making changes in the source environment (fallback scenario).
  • Transformation: The selected data will be transformed according to the requirements from the initial design phase. The meaning of transformation is the change of the content of a field. Mappings or rule defined changes of a value field are examples of transformations (renaming, renumbering, complex transformations, …)
  • Loading: After the data transformation on the fly data is being written directly on database level into the target system. Alternatively, application data can be posted.
  • Validation: Within the migration process several technical checks will be performed out of the box. Logs of insert errors and of success, mapping documentation, table count reconciliation logs and others. In addition it is also possible to perform custom checks directly aiming at project critical pain points.

One possibility is creating an ECC shell and performing a shell conversion. The data is then migrated to build up the production system.

Benefits of SDT:

  • Adjust processes where innovation matters but not starting from scratch
  • Clean-up of grown SAP Landscapes whilst retaining investments
  • Short track the transition by bypassing preparation projects
  • Streamline system environments potentially into the cloud
  • Stepwise transition to SAP S/4HANA while retaining historical data

Recommended information for SDT:

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