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 start
• How to anchor your work in business strategy, not technology
• How to run problem discovery interviews that surface real headaches, not minor annoyances

• Prioritising solutions using five lenses: customer, growth, money, pragmatic feasibility and differentiators

• Building a quantifiable business case and defining success upfront

If 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.

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⏱️ 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