New from Qlik: Introducing Semantic Models for Data Products

Semantic Models in Data Products bring shared meaning into the data product itself, giving analytics and AI the context to understand your data. You define measures, dimensions, and relationships once, in a visual, versioned model. Link measures and dimensions to business glossary terms, so your business definitions flow into your applications. AI suggestions recommend relationships as you build. And because they are packaged directly in the data product, definitions and context, lineage, ownership, and trust scores carry automatically wherever the data is used.

• Try the interactive demo: https://tour.qlik.com/share/lzg4spcf5wss