Why 90% of Data Teams Are Failing at Data Modeling

NOTE - Sorry for the edits in this video. I used Descript to edit out the umms and uhhs, and it was a bit too aggressive. Will make it less jarring in future videos. Thanks. Walking around Salt Lake City, I break down results from the April 2026 data modeling survey: 90% of respondents have a modeling pain point, and only 4.8% think better tools would fix it. We cover physical vs. logical modeling, semantic layers, and Reis's Law. 🎙️ SPONSORS Fivetran - stop cobbling pipelines together. Set it, forget it, scale as you grow.→ https://fivetran.com Revify - surprise Snowflake bills? One customer cut theirs 50% in 48 hours.→ https://revify.com/demo