Data Psrofiling
Data models that used to take weeks. Today: an afternoon task.
Torsten Glunde
• Feb 3, 2026
AI is completely revolutionizing data modeling.
Models are created from requirements almost at the touch of a button.
Efficient. Impressive. Seductive.
Tools such as Astera show how quickly “target models” can be built today.
https://www.astera.com/de/type/blog/ai-powered-data-modeling/
But this is precisely where the danger lies.
Because data modeling rarely fails because of the vision.
It almost always fails because of the foundation.
- Missing values
- Unexpected formats
- Historically accumulated legacy issues
- No one actually uses this field anymore… except for five critical reports.’
Without data profiling, we don’t build models.
We build assumptions.
💡 My clear opinion:
AI without real data profiles does not accelerate quality, but rather wrong decisions.
- First understand.
- Then model.
- Then automate.
How seriously do you take data profiling in your projects?