{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Matas","title":"S2E6 - Stop Scaling What You Don’t Understand With John Napoleon-Kuofie","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/5868c1e7\"></iframe>","width":"100%","height":180,"duration":2179,"description":"What if scaling your data platform meant starting from scratch?In this episode of Data Matas, John Napoleon-Kuofie, Analytics Engineer at Monzo, shares what it really takes to rebuild trust in your models - inside one of the UK’s fastest-growing digital banks.From inheriting 1,000+ undocumented DBT models to challenging the purpose of legacy tests, John walks through the decisions his team is making to improve data quality, reduce noise, and future-proof their platform. It’s a candid, practical conversation about choosing clarity over complexity, and learning to say no to work that doesn’t deliver value.👉 In this episode, you’ll learn how to:Rebuild inherited models by starting with real-world concepts, not assumptionsReduce alert fatigue by testing only what matters (and ignoring the rest)Prepare your data architecture before layering on AI or self-serve toolsDesign systems that future engineers can actually understandFoster a culture where bottom-up innovation drives real changeWatch the full episode on YouTube, or listen on Spotify and Apple Podcasts.👤 John Napoleon-Kuofie on LinkedIn👤 Aaron Phethean on LinkedIn🎧 Data Matas Podcast🌐 Matatika Website","thumbnail_url":"https://img.transistorcdn.com/ct59eQJqdPsuicw7AJDtS5q80LLSqi7Wq51tbBc6kq4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kMDUw/MDJhMDFlMGQ5Yzdk/ZjY2MzAxZjFlODVm/MGU3Yy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}