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
