Carve-outs and divestitures
A carve-out splits one company's SAP data in two, on a deadline the deal sets. Every mock run needs realistic data for the divested entity, and none of the seller's retained business can reach the buyer's systems. Synthesized subsets by company code and masks what stays private.

On SAP, we measure results on your own data in a 10-day validation.
Why carve-outs are hard
01How it works
The company codes, plants, sales organisations and date range that make up the divested business.
For customers, vendors and materials both sides use: copy, mask or leave out, by rule.
Write a masked subset of the divested entity into the carve-out test system before every rehearsal.
The buyer's team gets masked data for integration testing, with nothing from the retained business.
Copy and delete, or subset
We've got you covered

Separating part of a company's SAP data, usually by company code, into a new system or client for a divested business or a new entity. Selective data transition services and tools move the data; test systems need their own copies for every rehearsal.

Selective data transition moves the divested entity into its target system. Synthesized prepares the test copies around it: masked subsets for each mock run and for the buyer's integration testing.

Set a rule per object: copy it into the divested entity, mask it, or leave it out. The same rules run for every mock, so results can be compared.

Yes, on masked data scoped to the divested entity, so the buyer's team sees neither the seller's retained business nor real personal data.

Yes. The same scoping and masking prepare test data when an acquired business moves into your SAP landscape.
Next step
Tell us the company codes and the mock-run calendar. We'll show a masked subset of the divested entity on your system.
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