The Importance of Data Expertise in Product Management

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A product manager who doesn't have the data expertise, they just assume if they pump in fairly atomic level data into the BI platform, then it's basically just group buys to roll it up. Another example is that like time series data has all these unique characteristics and you don't know how to deal with them. If I'm in a purely green field product, I'm just trying to launch a new conversion flow. If I have no numbers yet, deduplication may be overkill for me. So depending on where you are in the product lifecycle, kind of necessitates the depth of rigor that's required.

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.