Data as a Product or a Service?

1min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

I'm still a little confused of what we're talking about when we say data I get that when we say a model so that's that's that can be thought of as a as a product but then always kind of in the vernacular of like products and services so like data as a service. There are times where data as a product is that the same thing and where does the service of performing ad hoc useful analyses that it needs a skilled analyst or a data scientist working with the stakeholder for a one-time thing do that still fit in this world or is that something separate? "It's separate" you have to think about things like like analysts consultants whatever we we create,

Have you ever built a data-related "thing" — a dashboard, a data catalog, an experimentation platform, even — only to find that, rather than having the masses race to adopt it and use it on a daily basis, it gets an initial surge in usage… and then quietly dies? That's sorta' the topic of this episode. Except that's a pretty clunky and overly narrow summary. Partly, because it's a hard topic to summarize. But, data as a product and data products are the topic, and Eric Weber, the data scientist behind the From Data to Product newsletter, joined us for a discussion that we've been trying to make happen for months. It was worth the wait! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.