S2 E8. A Structured Framework for Building Successful Data Solutions - The Data Playbook Podcast with Kris Peeters & Frederic Vanderveken
The Data Playbook Podcast
<p>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 <strong>Frederic Vanderveken</strong> from Dataminded to unpack a practical framework to <strong>choose and validate the right data use cases</strong>.</p>
<p>We cover:</p>
<ul>
<li>Why so many data initiatives fail before they even start</li>
<li>How to anchor your work in <strong>business strategy</strong>, not technology</li>
<li>How to run <strong>problem discovery interviews</strong> that surface real headaches, not minor annoyances</li>
</ul>
<ul>
<li>Prioritising solutions using five lenses: customer, growth, money, pragmatic feasibility and differentiators</li>
</ul>
<ul>
<li>Building a <strong>quantifiable business case</strong> and defining success upfront</li>
</ul>
<p>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.</p>
<p>Follow <em>The Data Playbook</em> for more episodes on data platforms, data products and making AI useful in real life.</p>
<p>🌐 More at <a href="http://www.dataminded.com" rel="nofollow">www.dataminded.com</a> and subscribe to our channel.</p>
<p><br></p>
<p><strong>⏱️ Chapters:</strong></p>
<p>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</p>