[c-linkage]

Speaking of too many dashboards, my opinion at this point is that Tableau is where data goes to die. I have so many dashboards that are created in my organization but each dashboard gets one or less views per month. No one ever looks at these dashboards that get created.

My feeling is that these dashboards were probably more like one-time reports that someone decided to automate. But there's definitely a sense of Tableau fatigue. And I don't know if switching to a different technology like Power BI will make that any better.

[alexpetralia]

Do most data-driven decisions need to be made daily?

Sometimes you just need to see the data once or month or once a quarter to make a decision. Sometimes, you just need to see the data once! (an ad hoc analysis in Excel)

We should think of the rate at which we need to act on decisions, and it need not always be a frenetic "now, now, now"

[data-ottawa]

Dashboards have a very long tail depending on use case.

You've got daily driver exec and performance dashboards, then you have over time trend dashboards, and finally you have drill down self serve explore of data export tools. Alerting should be separate.

It's expected that most dashboards will not be checked often, trends don't change daily so it's usually not meaningful to look at most metrics daily. Self serve tools are only needed occasionally, but exist as a cost savings on data teams doing low effort high time tasks.

Dashboard tools and spreadsheets are the only good tools for sharing data, I find most reports and spreadsheets are actually just one offs.

[monkeydust]

100% same experience at my place.

I go back to thinking about how the data can be pushed rather than pulled. Whilst BI tools have some solutions I never found anything great so ended up with homebrew scripts. Definitely an opportunity space.