Most data leaders know the statistic: the majority of big data initiatives never deliver the value they promised. In this episode, Kris sits down with Frederic Vanderveken from Dataminded to unpack a practical framework to choose and validate the right data use cases.We cover:Why so many data initiatives fail before they even startHow to anchor your work in business strategy, not technologyHow to run problem discovery interviews that surface real headaches, not minor annoyancesPrioritising solutions using five lenses: customer, growth, money, pragmatic feasibility and differentiatorsBuilding a quantifiable business case and defining success upfrontIf you’re a data leader or product owner deciding where to place your next big bet, this episode gives you a structured way to reduce risk and ship data solutions that actually move the needle.Follow The Data Playbook for more episodes on data platforms, data products and making AI useful in real life.🌐 More at ⁠www.dataminded.com⁠ and subscribe to our channel.⏱️ Chapters:00:00 Introduction to Data Solutions Framework09:03 Effective Problem Discovery Techniques17:53 Mapping Customer Journeys26:39 Collaborative Solution Brainstorming32:27 Testing Solutions and Integration44:39 Final Thoughts and Key Takeaways

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