What Hex is
A workspace for data work from exploration to delivery. Analysts explore in notebooks, use AI to speed up the awkward parts, then publish the result as an interactive application others can use.
It sits between a notebook and a BI tool.
What you can do with it
- Query and explore data in notebooks
- Get AI help generating analysis steps
- Publish interactive data applications
- Offer self-service questions over governed data
- Collaborate with comments and shared projects
- Connect to a data warehouse
Who it is for
- Data analysts and data scientists
- Business analytics teams
- Organisations with a warehouse already in place
- Teams delivering analysis, not just dashboards
What to watch out for
- Data connections, permissions and metric definitions still need governance
- AI output is a clue, not a verified answer: confirm against data definitions
- Complex modelling still needs the data team
- Check who can see published apps and the data behind them
Pros & cons
✓ What we like
- Notebook and app delivery together
- AI-assisted exploration
- Self-service for colleagues
- Collaboration built in
! What to watch out for
- Needs an existing data foundation
- AI results require verification
FAQ
Is it for non-technical users?
Some self-service parts are, but complex modelling and data connections need the data team.
How is it different from BI?
It emphasises analysis workflows, notebooks and data applications rather than fixed dashboards.
Can I trust AI analysis output?
Verify it. AI provides clues; data definitions, samples and business interpretation need people.
Last reviewed: 2026-09-15
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