A new checkout launches.
A CMS template changes.
A video player is replaced.
A consent configuration is updated.
A new component appears on the homepage.
A mobile experience gets redesigned.
Digital products change constantly.
Analytics often does not.
Many organizations treat measurement as something implemented during a project.
The events are defined.
Tracking is deployed.
QA validates it.
The dashboard works.
Done.
Except the product continues evolving.
And every change creates an opportunity for the relationship between the experience and the analytics to drift.
Sometimes the failure is obvious.
An event disappears completely.
Often it is much harder to notice.
An attribute stops populating.
A new component uses a different naming convention.
One platform behaves differently from another.
Volumes slowly change.
The dashboard still works.
The numbers still appear.
And that is exactly what makes these problems dangerous.
Broken analytics does not always look broken.
Data quality cannot therefore be treated as a one-time implementation milestone.
It has to be an operating condition.
Something teams continuously observe as the product changes.
The goal is not perfection.
The goal is knowing when the data no longer represents the experience you think you are measuring.
Because the longer that gap remains invisible, the more decisions get built on top of it.
Next: Organizations increasingly want data faster. But speed introduces another problem.