Michael: Recently I ran across a blog post by a company called Count. They've been trying to figure out how to integrate decision making and the UI of data reporting. So they've come up with this canvas type approach which I described to my team internally as like mirror for data but it actually is kind of an interesting concept. We'll put a link to it on the website so if you were interested in something like that.
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.