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 does that still fit in this world or is that something separate? "Not everything should become a product primarily because like business is operating off of those like analyses," says
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.