When I think of product management, or let's just call it the product delivery lifecycle, I think largely in terms of problems and solutions. And so a lot of effort is spent on designing the right solution. A lot of that is spent with data analysts or data scientists or engineers going, what's our options for actually solving those problems? It's really important for us to make data-driven decisions.
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.