The hard part is knowing what any of it means. Which of tens of thousands of tables carry your org structure. How they join. Which records are genuinely in use rather than merely present. And whether a plant, a contract, a supplier and a production flow relate closely enough to say which side of a boundary each belongs on.
That model is the asset. It is what makes an engagement run in days instead of becoming a bespoke data project every time, and it is available to license.
Not a schema. Not SAP®'s standard reference model. A model of meaning, built and validated across real systems, that says what the contents of a live system are for.
A schema tells you a table exists. The model tells you it carries your plants, how it reaches production, and whether anyone has written to it this decade.
The difference between what is configured and what the business actually runs. This is the part nobody else has, and it is where most of the value sits.
Every classification carries the evidence behind it and the decision that settled it. The model can be defended, not merely trusted.
Your configuration, your customisations, the code your team wrote. Not the standard SAP® shape a consultant assumes and then bills to discover.
Carve-out scope, custom code exposure, process reality and contract position all read from the same model, so two answers cannot quietly disagree.
ECC and S/4HANA, read-only, from the same model. The shape of a customer's estate does not decide whether you can answer.
Without this, the same extraction produces a large pile of tables and no answer.
Most systems present their output as complete. The interesting question is what happens when a client pushes back, because that is the moment a model either survives or costs you the room.
The model is validated against whether it would stand up to scrutiny, not whether it looks right in a screenshot. That is a harder test, and it is the one that matters when somebody senior disagrees with the number.
The system generates a record of what was checked, what was inferred, and what is not covered. You get the gaps in writing, from us, before a client finds them.
When it says a plant is in scope, that is because the system says so, and it can show the route it took. A traceable answer is the difference between a finding and an opinion.
The pipeline runs in stages and each stage unwinds on its own. If something looks wrong three stages in, you go back one stage, not back to the beginning. Reversibility is what separates a real pipeline from a demo.
A partner who repeats an overstatement to a client carries the cost of it, so the line between what ships and what is planned is drawn in public.
One point of precision worth carrying into a client conversation: the stranded-cost deliverable surfaces the contracts, licences and shared services exposed by a separation. It is discovery for the deal team to price. It is not a computed savings figure.
Every SAP® engagement of this kind budgets a data project before the client learns anything: extract, interpret, model, stand up a platform, load. We turned that project into a product. For a partner, that is a cost you stop carrying on every deal and margin you keep.
We work your pipeline together. You keep the client relationship, we bring the platform and the model, and both names are on the outcome. It is the fastest way to prove the thing works on your deals rather than on our slides.
You prime the engagement and the platform runs inside your practice as a work package. Your consultants answer the client's questions directly, with the evidence in hand, without escalating to us.
We sell the blueprint, not the execution. The analysis scopes and de-risks a separation programme rather than competing with the firm delivering it.
Thirty minutes. We will show the model built from a real SAP® landscape, what it answers, and where the commercial line sits for a partner.