Semantic Layer
Every Data Stack Needs a Semantic Layer
Just like these companies:
The problem:
Decentralized data models, data definitions, and controls over data access create data chaos
The average enterprise uses 6+ BI tools and has 100s of data sources. Each has their own access control and data modeling, they don’t communicate or agree with each other and cause your team to distrust the data.
The solution:
Centralize with a semantic layer and rebuild trust
Like a centralized control panel for your company's data – A semantic layer manages data modeling, data access, and sends consistent data and metrics to every BI software, data app, and AI/LLM tool.