Explains the data quality improvement cycle
Plan, do, check, act (Shewhart and Deming) applied to data: assess and plan, fix and prevent, monitor, act on the results. A framework closes the loop when every measured result has a route through analysis, issues and service levels to a changed process (DMBOK2 ch. 13, 1.3.6).
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 | 82% | Not shown |
| gemini-3.5-flash-lite | Low cost | 74% | Not shown |
| gpt-6-luna | Low cost | 74% | Not shown |
| claude-haiku-5-5 | Low cost | 74% | 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: Plan, do, check, act (Shewhart and Deming) applied to data: assess and plan, fix and prevent, monitor, act on the results. A framework closes the loop when every measured result has a route through analysis, issues and service levels to a changed process (DMBOK2 ch. 13, 1.3.6).
How it is assessed: Answers a written question on the data quality improvement cycle correctly
Related knobits
Needed for
- Q-004 Recognises a data quality framework with no route to improvement
- Q-052 Explains the ISO 8000-61 data quality management process reference model
All 12 knobits of Set the data quality strategy and framework.
Source: Practice the stage 0 reference and review checklist rest on