Data Science and the Data Warehouse Boom

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I couldn't help but think back to like the data warehouse boom that and it just it felt it feels similar. It was kind of the myth of if we build it they will come which I mean is that fair? There does become a point where like the cost of maintaining it whether it's to do with the volume of your data or you have to update whatever the case may be even in an automated world there is a cost. And what gets what gets missed is no wait a minute what are we doing how do we need to do it effectively and efficiently who's using it and is that the miss?"

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.