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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

Gives data meaning

A semantic layer helps translate raw data into business friendly fields, measures and definitions.

Supports consistency

It helps teams use the same logic for metrics such as revenue, margin, retention or customer count.

Connects users to data

A semantic layer makes it easier for report creators and users to work with data without needing to understand every source table.

Relevant to Power BI

In Power BI, semantic models can act as the semantic layer that supports reports, visuals and measures.

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

A semantic layer is a business focused layer that organizes data, definitions and calculations so they are easier to use in reporting and analysis.

It is used to give raw data business meaning, define shared metrics and make reporting more consistent across teams and tools.

They are closely related. In Power BI, a semantic model can act as the semantic layer behind reports.

It helps report creators use consistent data relationships, measures and business logic across reports.

A semantic layer helps structure the data behind Power BI reports. Skald BI helps teams share those finished reports through a secure branded portal for customers, partners and internal users.