Description
In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Mario Meir-Huber — author of Designing Data Products and longtime data leader — to talk about what happens when you stop treating data like a one-time project and start managing it as a product that evolves.
Mario shares the (literal) honeymoon moment that sparked the book, and explains why great data products require more than architecture. They need governance, people, and a design mindset built for continuous change.
Together, they explore:
Why the GAP (Governance, Architecture, People) is often what makes or breaks a data product
The reason data products should be managed as living processes, not one-off projects
How poor metadata management slows everything down, and why it’s critical for AI
What business leaders really want from data, and why simplicity wins
Where data products are headed next, especially in an AI-first world
🎧 Tune in for a conversation about the human, technical, and strategic layers behind successful data products — and why we all need to start thinking more like product managers.
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