Quiz Entry - updated: 2026.10.22
How do quantitative and qualitative extensions of an IAM system differ?
Quantitative: same kind of information, new source, short standard path. Qualitative: new kind of information outside the current scope, long path through scope, data model, data-protection and source checks.
| Dimension | Quantitative extension | Qualitative extension |
|---|---|---|
| What is new | More data of a known kind (more people, more organisations) | A new kind of information (new attributes, new objects) |
| IAM data model | Unchanged | Extended (Fachdatenmodell erweitern) |
| Scope decision | Not needed, the type is already in scope | Required: is the extension worthwhile? |
| Data-protection basis | Already established for this data type; specifics go into the delivery agreement | Must be checked and, if missing, created |
| Data source | Exists (the new partner, the new HR system) | May exist, or may have to be built |
| Frequency | Relatively frequent in larger companies | Rarer |
| Handling | Standardised, templates, automation | Case by case, sometimes a project |
| Example | A third sales partner connects its staff directory | The fleet tool wants driving-licence classes |
One idea links the rows: a quantitative extension changes who is in the IAM, a qualitative one changes what the IAM knows about them.