A semantic layer is a business focused layer that organizes data, definitions and calculations so they are easier to use in reporting and analysis.
Semantic layer
A semantic layer is a structured business layer that makes data easier to understand, use and analyze in reports.
Quick facts about semantic layers
Trusted reports need shared definitions
A semantic layer helps bridge the gap between technical data structures and the way people talk about the business. Instead of working directly with source tables, users can work with clearer names, relationships and calculations.
A semantic layer can include:
- Business friendly field names
- Relationships between tables
- Measures and calculations
- Security and access rules
This makes reporting easier to scale. When teams use shared definitions, reports become easier to build, compare and trust across departments, customers or reporting use cases.
Trusted reports need shared definitions
A semantic layer matters because reports often fail when teams define the same metric in different ways. If one report calculates revenue differently from another, users may spend more time questioning the numbers than using the insight.
In Power BI, a semantic model can provide the structure behind consistent reports. Skald BI helps with the next step: sharing finished Power BI reports through a secure branded portal, so customers, partners and internal users can access reporting built on clearer definitions and controlled delivery.
Use cases
See how different types of organisations use Skald BI to share Power BI securely with employees, customers and partners.
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Frequently asked questions
What is a semantic layer used for?
It is used to give raw data business meaning, define shared metrics and make reporting more consistent across teams and tools.
Is a semantic layer the same as a semantic model?
They are closely related. In Power BI, a semantic model can act as the semantic layer behind reports.
Why is a semantic layer important in Power BI?
It helps report creators use consistent data relationships, measures and business logic across reports.
How does a semantic layer relate to Skald BI?