Qlik Semantic Models Are Here: Shared Business Logic for Analytics and AI
If you’ve worked with Qlik for a while, you know the story. Every app ends up with its own version of “net revenue” or “active customer,” and keeping those definitions in sync is a constant headache. Semantic Models take that business logic (measures, dimensions, relationships, and glossary terms) and package it inside a governed data product, so every app and every AI tool starts from the same definitions.
In this video I cover:
What a semantic model is in Qlik and where it fits inside Data Products
How it connects the business glossary to the measures and dimensions you already use
Pulling definitions out of an existing Qlik app (currently in public preview)
Why this matters for Qlik Answers, MCP, and AI agents working with your data
Which editions get it
Semantic Models are available wherever Data Products is: Qlik Cloud Analytics and Qlik Talend Cloud Premium and Enterprise, plus Qlik Sense Enterprise SaaS.
If you’re building data products or getting your Qlik environment ready for AI, this one is worth a look. Questions or ideas for a follow-up? Drop them in the comments.
Comments