Lowering the friction to insight: building self-service analytics at Wikimedia | Metabase JOIN

Dr. Cassie Hudson, part of Wikimedia Foundation's fundraising analytics team, shares how her team built a self-service data culture using Metabase. Learn practical tips for naming conventions, documentation, foreign key relationships, collaborative dashboard design, and data literacy training. CHAPTERS: 00:00 Intro 01:00 What is self-service analytics? The four key elements 03:01 Wikimedia's data stack transformation 04:24 Designing for self-service: organizing collections and permissions 05:44 Naming conventions for tables and columns that humans understand 09:02 Documenting everything: descriptions, display names, and dbt integration 10:36 Foreign key relationships and the notebook editor 12:09 Collaborative dashboard design: from paper prototypes to shared docs 16:02 Building data literacy across your organization 17:14 Q&A: document-first workflow, data literacy levels, and public data Learn more about Metabase: 🔷 Website: www.metabase.com 🔷 Get started: https://store.metabase.com/checkout 🔷 Docs: https://www.metabase.com/docs/latest/ Join the community 🔷 https://github.com/metabase 🔷 https://x.com/metabase 🔷   / metabase   #metabase #dataanalytics #datavisualization #aianalytics