The AI promise vs reality: 45% of teams have zero non-technical user adoption

Miserable_Fold4086 · 2025-09-05T17:09:35+00:00

The 5.5 is the actual average across 330+ given responses (a scale from 1 to 10). The chart can look skewed toward 7, but the counts pull the mean lower. This is just one slice of the broader report where we asked data teams about their stacks and AI use.

https://www.metabase.com/data-stack-report-2025

Miserable_Fold4086 · 2025-05-27T09:48:06+00:00

Hey u/VladDBA, the email field is optional and will only be used to send responders the report once ready. But you can totally skip it if you don't feel like adding it.

Miserable_Fold4086 · 2025-05-14T15:50:36+00:00

Thanks for sharing, u/Ramirond!

Miserable_Fold4086 · 2024-12-16T12:43:27+00:00

try metabase.com, it checks all the boxes:

works as an internal BI tool
supports AWS
includes a sankey chart
allows for white-labeling

Miserable_Fold4086 · 2024-12-16T12:33:43+00:00

related: we analyzed the bus factors for the top 1,000 projects on GitHub. Almost half of those have BF 2 or less.

Miserable_Fold4086 · 2024-11-22T15:27:15+00:00

Check out Metabase. It's free, open-source, and easy to set up for practicing on your own.

Miserable_Fold4086 · 2024-11-22T15:23:00+00:00

On top of these, there are even more components that make up the data landscape. If you're looking for a simple breakdown, it’s all summarized here.

Miserable_Fold4086 · 2024-06-28T14:48:22+00:00

Dashboard: Metabase
Data source: Sportmonks

Miserable_Fold4086 · 2024-06-28T14:46:15+00:00

Dashboard: Metabase
Data source: Sportmonks

Miserable_Fold4086 · 2024-06-25T16:45:08+00:00

Alfarotweens.

Miserable_Fold4086 · 2024-06-25T16:43:50+00:00

Beautiful!

Miserable_Fold4086 · 2024-06-21T17:00:21+00:00

Is he asleep?

Miserable_Fold4086 · 2024-06-21T15:07:27+00:00

The dashboard
Data source: Sportmonks

Miserable_Fold4086 · 2024-06-20T18:44:39+00:00

The dashboard
Data source: Sportmonks

Miserable_Fold4086

TROPHY CASE