Current numbers, without the day and a half.
The data usually exists. Assembling it takes long enough that reporting becomes a scheduled event rather than something you can simply look at. So decisions wait until Monday, and the numbers everyone is working from are always slightly historical.
Problems it solves
- Reports assembled by hand from multiple systems
- Metrics that different departments calculate differently
- Numbers you'd act on weekly if getting them didn't take a week
- Dashboards nobody trusts because nobody can trace the figures
- Analysis that's possible in principle and never done
Where you don't need AI
This is also where we most often tell clients they don't need AI. A well-built warehouse and a clear metric definition solve more reporting problems than a model does.
Let's talk
Let us know if you've got something that needs shrinking.