Semantic Layer
A semantic layer is a translation layer that maps raw data into consistent business terms, so that people and AI interpret metrics and concepts the same way.
It defines what terms like active customer, churn, or revenue mean in one place, on top of the underlying data. Without a shared definition, the same term can be calculated differently across reports and tools, producing conflicting numbers; a semantic layer standardizes objects, fields, metrics, and rules so results are consistent.
For AI, this matters even more: it lets a model read business data correctly instead of guessing, reducing errors and mismatched calculations. In an AI-driven system, the semantic layer is a key part of grounding the model in how a specific business actually defines its data.
Frequently Asked Questions
It is a layer that translates raw data into standardized business terms and metric definitions, so everyone, and AI, interprets the data the same way.