Unlike defining semantics separately within each data source or analytics tool, which leads to inconsistencies, duplications, increased maintenance, and complicates data governance practices, a Universal Semantic Layer centralizes and harmonizes data semantics. This approach ensures uniformity and scalability across all tools and data sources.
Instead of relying on disconnected definitions, the Universal Semantic Layer provides a consistent framework for data access, dramatically reducing operational overhead. It also enhances AI performance by leveraging rich metadata that aligns with business terms, enabling seamless integration with tools and AI models.
