Metric consistency
Revenue, margin, active customer and pipeline mean the same thing across reports and teams.
Semantic layer design
Give every report, workflow and AI answer the same business meaning.
We design semantic layers that centralize KPI logic, dimensions, ownership and business rules so Power BI and AI tools do not invent different versions of the truth.
Why it matters
The semantic layer is where BI trust is won or lost.
When definitions live in reports, spreadsheets and people’s heads, every meeting can become a reconciliation exercise.
Reusable logic
Measures, dimensions and relationships are built once and consumed across reports and workflows.
AI-ready context
NLQ and agents become safer when they answer from curated definitions instead of raw tables.
Semantic layer FAQ
Short answers for business and IT.
Is this only a Power BI topic?
No. Power BI is often the first consumer, but workflows, Excel and AI can also rely on the same definitions.
Do we need to rebuild everything?
Not always. We can start by stabilizing the highest-value models and definitions.
Who owns KPI definitions?
The business should own meaning; the BI team should implement, test and govern the technical expression.
Semantic model review
Pick one KPI that causes debate.
We can trace it from source data to report logic and show where the semantic layer needs to be strengthened.