Explains the master data model and data sharing architecture
A model of the master entities and how golden data is published to consumers.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 83% | Not shown |
| gemini-3.5-flash-lite | Low cost | 36% | Not shown |
| gpt-6-luna | Low cost | 36% | Not shown |
| claude-haiku-5-5 | Low cost | 36% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: A model of the master entities and how golden data is published to consumers.
How it is assessed: Answers a CDMP-style multiple-choice question on the MDM data model and sharing
All knobits of Reference and master data.
Source: DAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 10: Reference and Master Data, element RV-9