Insight 92 · Data & AI
How dirty data broke marketing
Clean data restores context, consent and meaning.
The accountability test
Can the decision survive informed questions?
This idea asks leaders to move past activity, convention, and confident presentation. The test is what the claim changes, who can question it, and what evidence supports the decision.
In data & ai, accountability means making assumptions visible, naming an owner, and connecting the work to an outcome people can recognize. If the reasoning cannot be explained clearly, the system is not ready to scale.
Source: How dirty data broke marketing ↗Apply clean data
Make better decisions with data people can understand and control.
Use clean-data training, Cluzy, or a focused diagnostic to replace weak assumptions with clearer evidence and permission.
Discuss a clean-data need →