Explains selecting critical data elements from their uses
Selection runs from the use back to the element: list the regulatory returns, board KPIs and decisions with money attached, take every element each one reads, keep an element only if something depends on it, choose at column level, and state the rationale as the use the element feeds (DMBOK2 ch. 13, 2.1-2.3).
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 35% | Not shown |
| gpt-6-luna | Low cost | 99% | Mastered |
| claude-haiku-5-5 | Low cost | 100% | Mastered |
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: Selection runs from the use back to the element: list the regulatory returns, board KPIs and decisions with money attached, take every element each one reads, keep an element only if something depends on it, choose at column level, and state the rationale as the use the element feeds (DMBOK2 ch. 13, 2.1-2.3).
How it is assessed: Answers a written question on the critical data element selection correctly
Related knobits
Needed for
- Q-101 Recognises a critical data element with no dependent use
- Q-102 Recognises a regulatory return input missing from the critical data elements
- Q-104 Recognises a critical data element chosen above element level
- Q-105 Recognises a criticality rationale naming no use
All 10 knobits of Select the critical data elements.
Source: Practice the stage 1 reference and review checklist rest on