The value from just putting any numbers on the board or for just getting something out to users is actually much higher than the cost of that error. And oftentimes you'll see, you know, data scientists will get frustrated because they'll be like, hold on, but what about this deduplication thing? "There's no counting in the world that is perfectly precise"
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.