Recognises a data quality programme scope with no priorities
Everything in scope, no order.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 65% | Not shown |
| gemini-3.5-flash-lite | Low cost | 65% | Not shown |
| gpt-6-luna | Low cost | 65% | Not shown |
| claude-haiku-5-5 | Low cost | 65% | 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: The scope and its order of priority
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: scope: "all data in all systems", priorities: [] Acceptable: Regulatory returns first (F 18.00, C 73.00, DGS file), then credit decisions
Also known as: Scope with no priorities
Related knobits
Builds on
All 12 knobits of Set the data quality strategy and framework.
Source: Review checklist 00-dq-strategy, row 2 (DMBOK §2.2; BCBS 239 P3)