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GLOSSARY · S

What Is a Semantic Layer?

DEFINITION

A semantic layer is used to abstract away a data model, providing a consistent understanding of business terms, metrics and relationships so that it is understandable by applications and users. This provides a mapping between business terms, metrics and relationships to databases and other sources. If we take an example, a precise and comprehensive understanding of knowing various terms on your dashboards and analytics, such as active customers, revenue, inventory turnover etc.

Importance

  • Consistent Metrics
  • Easy Data Access
  • Better Analytics
  • Governance
  • AI Ready

When should you use a Semantic Layer?

  • Standardized KPIs within your BI dashboards.
  • Natural language querying through your enterprise data.
  • AI Assistants to answer your questions.
  • Define metrics consistently in Finance, Sales, Procurement etc.
  • Map database fields to business terms.

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