Microsoft Fabric

Semantic Model Consulting

Your business logic deserves a single source of truth. SolveBI designs and builds enterprise Fabric Semantic Models that standardise metrics, accelerate reporting, and give every Power BI report the same reliable numbers.

What is a Semantic Model?

The Business Logic Layer for All Your Reports

A Fabric Semantic Model (formerly known as a Power BI dataset) is the centralised layer where business logic lives. It defines how data from your Lakehouse or Warehouse is structured, calculated, and secured before being consumed by Power BI reports, Excel, or third-party tools.

Semantic models contain DAX measures, hierarchies, calculated columns, and relationships that encode your organisation's definitions of revenue, margin, headcount, or any other metric - so every team is always working from the same agreed numbers.

In Microsoft Fabric, semantic models can operate in Direct Lake mode - reading directly from Delta files in OneLake for near-instant data freshness without the cost and latency of import refreshes.

Centralised DAX measures shared across all Power BI reports
Direct Lake mode: data freshness without scheduled refreshes
Star-schema modelling for optimal query performance
Dynamic row-level security for multi-tenant environments
Hierarchies, KPIs, and display folders for self-service BI
Certified and promoted datasets for governed analytics
XMLA endpoint for third-party tool integration
Incremental refresh for large fact tables
Our Services

How SolveBI Delivers Your Semantic Model

We bring deep DAX expertise and data modelling discipline to every semantic model engagement - from greenfield builds to legacy migrations.

DAX Measure Development

We write, review, and optimise DAX measures for everything from simple KPIs to complex time-intelligence calculations, variance analysis, and statistical aggregations.

Data Model Design

Design star-schema and snowflake data models that balance query performance with semantic clarity - ensuring every report filters correctly and every join is intentional.

Direct Lake Mode Implementation

Configure Direct Lake-mode semantic models that read directly from Lakehouse Delta tables - delivering sub-second report performance without scheduled refreshes.

Row-Level Security

Implement dynamic RLS rules that restrict data access by user, region, department, or any custom attribute - with full testing and audit documentation.

Model Migration & Modernisation

Migrate legacy Analysis Services, Power BI Desktop, or Tabular models to Fabric-native semantic models with improved governance and centralised management.

Shared Model Strategy

Establish a certified, shared semantic model strategy so every team uses the same definitions, metrics, and hierarchies - eliminating conflicting numbers across reports.

Use Cases

Semantic Model Scenarios We Deliver

Enterprise KPI Standardisation

A single certified semantic model becomes the authoritative source for every financial, operational, and commercial metric across your organisation.

Direct Lake Reporting

Connect a semantic model directly to your Fabric Lakehouse Gold layer for instant Power BI reports without the overhead of import mode refreshes.

Multi-Team Analytics Platform

One central model with department-specific RLS rules lets different teams see only their own data through the same shared reports and dashboards.

Embedded Analytics

Use Power BI Embedded backed by a Fabric semantic model to serve white-label, customer-facing analytics at scale within your own application.

One Model. One Truth.

Stop reconciling conflicting numbers from different reports. Let SolveBI build the certified semantic model your organisation can trust.