Why Your Dashboards Disagree (And How a Semantic Layer Fixes It)

Why do your finance and marketing dashboards show different revenue numbers? It’s usually not a data quality problem—it’s metric sprawl. In this video, we break down what a Semantic Layer (also known as Headless BI) actually is, and how it acts as a single source of truth for your business logic. 🚀 Check Out My Data/AI Courses: https://whop.com/the-data-guy-llc/ Use Code dataguysub for 25% off! 🚀 Get Source Code and Bonus Content: https://patreon.com/TheDataGuy?utm_me... ⚡ Follow my Substack: https://substack.com/@thedataguygeorge 🎬 Watch My Daily Data & AI Shorts:    / @dataandaiguyshortform   We explain how a semantic layer sits between your data warehouse and your consumers (like Tableau, notebooks, or AI agents) , compiling metric definitions into SQL on the fly at query time. We also review the current tool landscape—including dbt's Semantic Layer, Cube, and LookML—and give you an honest assessment of when you actually need to build one (and when a well-structured dbt project is enough).