Is there a valid use case that I'm back to thinking of most and I don't have enough not like the you mentioned kind of having an analytics analytics mark or warehouse? It would be awesome. There's multiple layers in the stack at the end of the day, like the internet's a glorified form field or whatever. And so depending on which problems you want to solve, you might get the best bang for your buck by having a single solution.
Data gets accessed and used in an organization through a variety of different tools (be they built, bought, or both). That work can be quick and smooth, or it can be tedious and time-consuming. What can make the difference, in modernspeak, is the specifics of the "data products" and "data platforms" being used for those tasks. Those specifics, in turn, often fall on the shoulders of (data) product managers! In this episode, Austin Byrne, Group Product Lead for Data at Canva, joined us for a discussion about the similarities and differences between typical product management and data product management! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.