S3 | Ep 30 | What Even is a Data Product...with Bethany Lyons, Chief Product Officer at Kawa Analytics

<p>In Episode 30 of Season 3, of&nbsp;Driven by Data: The Podcast, Kyle Winterbottom is joined by&nbsp;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;</p><ul><li>The fascinating story of Kawa and the problems it solves </li><li>Delivering Data Products versus Data Projects </li><li>The differences between product management principles applied to data and data products&nbsp; </li><li>Why most data teams operate like an IT Service Desk and why product thinking can change that </li><li>Why you should start by applying product management to data before you try to build data products </li><li>Why a product management approach forces value-driven thinking </li><li>How we have ‘Data Product Managers’ who aren’t doing Data Product management </li><li>Why there’s a better success measure for your data initiative than usage/adoption</li><li>Where you should hire your first Data Product Manager </li><li>Platform versus Feature Product Managers and why they’re rarely interchangeable</li><li>How data products differ from traditional products </li><li>Why marketplaces will be the future of data product</li><li>The relationship between self-service analytics and data as a product </li><li>What actually constitutes a data product </li><li>The biggest unspoken challenge in the data-mesh discussion </li><li>The impact of org structure and operating model on data product success </li><li>Why too many businesses try to scale their data product before establishing product market fit </li><li>What data product people should do to position themselves for the wave of incoming opportunity</li></ul><br/>