In Episode 30 of Season 3, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Bethany Lyons, Chief Product Officer at Kawa Analytics, where they discuss the current data product landscape and what actually constitutes a data product, which includes;

The fascinating story of Kawa and the problems it solves
Delivering Data Products versus Data Projects
The differences between product management principles applied to data and data products
Why most data teams operate like an IT Service Desk and why product thinking can change that
Why you should start by applying product management to data before you try to build data products
Why a product management approach forces value-driven thinking
How we have ‘Data Product Managers’ who aren’t doing Data Product management
Why there’s a better success measure for your data initiative than usage/adoption
Where you should hire your first Data Product Manager
Platform versus Feature Product Managers and why they’re rarely interchangeable
How data products differ from traditional products
Why marketplaces will be the future of data product
The relationship between self-service analytics and data as a product
What actually constitutes a data product
The biggest unspoken challenge in the data-mesh discussion
The impact of org structure and operating model on data product success
Why too many businesses try to scale their data product before establishing product market fit
What data product people should do to position themselves for the wave of incoming opportunity

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