Katie Bauer!

Dashboards are a sacred artifact in the syncretic religion of data analysis. At various points I've used them for reporting, automating analyses, making basic tools, storing groups of thematically related queries, generating viz in EDA when I'm too lazy to fire up a notebook ...

They're tremendously useful, and as this article says, way better than previous tooling. I remember once spending days debugging a giant financial report that was broken because someone accidentally overwrote a cell in the Excel workbook with a space https://towardsdatascience.com/dashboards-are-dead-b9f12eeb2ad2 …

Even so, I'm skeptical that a drag-and-drop tool is what we'll need to replace dashboards. Removing the need to write SQL will help a lot (and will also save data scientists a shitton of time) with getting new people in the funnel, but it won't automatically produce GOOD work.

Data democratization often means democratizing the process of finding telemetry bugs and spurious correlations. The process of doing in data analysis is more than writing queries and creating charts. You do need some training (and discipline) to know how to interpret what you see