I feel like I say it like 12 times a day platform is just this like the image of it makes it seem so much cleaner and well-defined than it ever is. It's actually like five or six totally separate tools and we use them all for measurement. on who the customer is depends on who the customers are but arguably the word platform is like a horrible word because it typically means something that you can fairly easily define.
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.