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