Analytic modelling

It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.

Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.

Ninety tools is a large surface to put in front of a model at once, and client-credentials OAuth means the tenant sees one identity rather than the person asking. Content transport and user management sit in the same tool list as reading a story.

A tenant with its own model layer, its own transport and its own user administration — content moves between tenants through export and import jobs rather than through your pipeline, and planning brings a calendar and a workflow that a reporting-only use never touches.

A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.

It reaches a data warehouse, so what an agent can see is business data by definition — the SQL sanitisation and PII filtering in the server are there because of that, not instead of a decision about it. And the guidance is Datasphere-shaped: nothing here transfers to a HANA Cloud database used directly.