A semantic model is the data model behind Power BI reports. It provides the structured data, relationships and calculations used for reporting and visualization.
Semantic model
A semantic model is the data model that Power BI reports use for reporting, analysis and visualization.
Quick facts about semantic models
Ready for reporting
A semantic model represents data that is prepared for Power BI reports and visualizations.
Replaced dataset terminology
In Power BI, semantic model is now commonly used where many users previously said dataset.
Contains business logic
A semantic model can include tables, relationships, calculations, measures and security rules.
Supports reuse
One semantic model can support multiple reports, helping teams work from the same data structure.
How semantic models work
A semantic model sits between the source data and the report users interact with. It defines how data is structured, related, calculated and made available for reporting.
A semantic model can include:
- Tables and columns
- Relationships between tables
- Measures and calculations
- Row level security rules
This helps report creators build reports from a shared data foundation. Instead of rebuilding the same logic in every report, teams can reuse the model and keep definitions more consistent.
Why semantic models matter in BI reporting
Semantic models matter because they define how report data should be understood. A well structured model makes reports easier to build, maintain and trust.
In Power BI, semantic models can store imported data, query source systems directly or combine both approaches. Skald BI helps with the next step: sharing finished Power BI reports through a secure branded portal for customers, partners and internal teams.
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 model in Power BI?
Is a semantic model the same as a dataset?
In Power BI, semantic model is the newer term commonly used for what many users previously called a dataset.
What does a semantic model include?
A semantic model can include tables, columns, relationships, measures, calculations, refresh settings and security rules.
Why are semantic models useful?
Semantic models help teams reuse the same data structure and business logic across multiple reports, which supports consistency and easier maintenance.
How do semantic models relate to Skald BI?