Is There a Risk or a Challenge in Building a Data Product

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I'm really intrigued by the customer centric aspect of the data product side that that we don't just build because I feel like that's a a huge suck of value is the jump to build product. Eric even as you're talking about like a good analyst is going to say I may be able to hack together and kind of automate some stuff I'll build, he says. "It feels like there's kind of a slippery slope"

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.