Data & analytics
Tools that analyse data, build reports, and support decisions, where correctness of the underlying calculation is the first thing to check.
Who this is for
- Analysts
- Finance and operations teams
- Leaders who rely on generated reports
How we will evaluate it
Analytics evaluations will use datasets with known answers so that correctness is checkable rather than judged.
This category uses the proposed baseline weights. See the methodology.
Category criteria
The questions we will ask of every product in this category. These are criteria, not results.
Calculation correctness
Are numbers computed correctly and reproducibly, and can you inspect how?
Data access and governance
What data can it reach, and what controls apply?
Transparency
Can you see the query, code, or steps behind an answer?
Handling of messy data
How does it behave with missing or inconsistent data?
Weights used for this category
- Capability & output quality: 25%
- Reliability & consistency: 20%
- Workflow fit & integrations: 15%
- Pricing & value: 15%
- Privacy & security evidence: 15%
- Support & documentation: 10%
Products in the queue
Alphabetical, not ranked.
No products queued yet
We have not yet chosen products to evaluate in this category. We would rather show an empty list than a padded one.
No ranking is published for this category. A ranking needs at least 2 published, fully evidenced evaluations under the same methodology version; 0 exist.
Guides
- How to read an intelligent-software evaluation — What a trustworthy evaluation shows, what to check before relying on a score, and the warning signs of one that is not.