Data Product Management Is a Multi-Use Platform

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

A data product is an interface that allows people to interact with metric definitions. It's not just the like management layer where you're actually defining the ETL but you start to expose it to other like customers internally. That could be a data product that the analyst may be using as they're doing ad hoc services and also tied into some self-service tools for business users. So that's one class of data productsYeah right you just mentioned the metrics can you help me understand what like like what product metrics data product is like I mean in this case it's really important to think about who is benefiting or who do we want to benefit from this thing all right?

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.