Explains the ISO 8000-61 data quality management process reference model
Data quality management as data quality planning, control, assurance and improvement processes, supported by resource provision and data processing, run as a cycle (ISO 8000-61:2016).
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 | 63% | Not shown |
| gemini-3.5-flash-lite | Low cost | 48% | Not shown |
| gpt-6-luna | Low cost | 48% | Not shown |
| claude-haiku-5-5 | Low cost | 48% | 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: Data quality management as data quality planning, control, assurance and improvement processes, supported by resource provision and data processing, run as a cycle (ISO 8000-61:2016).
How it is assessed: Answers a written question on the ISO 8000-61 process reference model correctly
Related knobits
Builds on
Needed for
All 12 knobits of Set the data quality strategy and framework.
Source: Practice the stage 0 reference and review checklist rest on