Recognises a data quality goal with no measure or date

Q-005 · Skill knobit · Activity: Set the data quality strategy and framework · Competence: Data quality

A goal that cannot be checked.

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	50%	Not shown
gemini-3.5-flash-lite	Low cost	39%	Not shown
gpt-6-luna	Low cost	50%	Not shown
claude-haiku-5-5	Low cost	50%	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 measure and the date

How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: QG-002 "better customer data", measure: null, by: null Acceptable: measure: SL-007 >= 99.99%, by: 2027-06-30

Also known as: Goal with no measure or date

Related knobits

Builds on

Q-051 Explains data quality goals tied to business drivers

All 12 knobits of Set the data quality strategy and framework.

Source: Review checklist 00-dq-strategy, row 5 (DMBOK §2.2)