Bring your data and analytics together in Microsoft Fabric
We help organisations plan and implement Microsoft Fabric across OneLake, Lakehouse, Data Factory, Data Engineering, Data Warehouse, Power BI and Real-Time Intelligence. Practical architecture for trusted analytics, reporting and AI-ready data platforms.
Microsoft Fabric works best when architecture, governance and reporting are designed together
Microsoft Fabric brings together data engineering, data integration, warehousing, real-time intelligence and Power BI into a unified analytics platform. The opportunity is significant, but value depends on designing the right data architecture, security model, workspace structure and semantic layer from the start.
Synenza helps organisations adopt Microsoft Fabric in a practical way. We focus on OneLake, Lakehouse architecture, Data Factory pipelines, semantic models, Power BI reporting, governance, cost awareness and the foundations needed for analytics, AI, Copilot and business decision-making.
Built for the work — not for the deck.
OneLake and Fabric architecture
Design a practical Microsoft Fabric architecture across OneLake, workspaces, lakehouses, warehouses, shortcuts, domains, security and data ownership models.
Fabric data engineering
Build reliable data engineering patterns using Lakehouse, Delta tables, notebooks, pipelines and reusable transformation logic that supports analytics and downstream reporting.
Data Factory and pipeline design
Create ingestion and orchestration patterns using Data Factory, dataflows, pipelines and connectors to bring data from business systems into Fabric responsibly.
Data warehouse and lakehouse modelling
Design lakehouse and warehouse structures that support governed reporting, dimensional modelling, analytical workloads and future platform growth.
Power BI semantic models and reporting
Create trusted semantic models, measures, dashboards and reports that provide consistent definitions and improve confidence in business intelligence.
Real-Time Intelligence and operational insights
Explore Real-Time Intelligence patterns for streaming data, events, operational monitoring, telemetry and time-sensitive insights where the business needs faster action.
A measured, honest path from idea to production.
Understand
Review your current data sources, reporting needs, analytics pain points, governance requirements, Microsoft licensing and existing platform landscape.
Architect
Define the right Microsoft Fabric architecture across OneLake, Lakehouse, Warehouse, Data Factory, Power BI, security, workspaces and governance.
Deliver
Build the data platform foundation, ingestion patterns, transformation layers, semantic models and reporting experiences using maintainable delivery practices.
Enable
Support adoption with documentation, governance guidance, operating practices, cost awareness and a roadmap for continuous improvement.
Common business scenarios.
Power BI and semantic model modernisation
Improve existing Power BI environments by creating trusted semantic models, consistent measures, governed datasets and clearer reporting structures in Microsoft Fabric.
Data platform consolidation
Bring scattered data sources into a more unified Fabric architecture using OneLake, Lakehouse, Data Factory and governed data modelling patterns.
AI-ready analytics foundation
Prepare data foundations for Microsoft Copilot, AI agents, knowledge assistants and advanced analytics by improving structure, quality, access and governance.
What good looks like.
- A practical Microsoft Fabric architecture aligned to business reporting, analytics and AI goals.
- Improved data foundations across OneLake, Lakehouse, Warehouse, Data Factory and Power BI.
- Trusted semantic models and reporting layers that support consistent business definitions.
- Better governance across workspaces, data ownership, access, sensitivity and platform usage.
- A clearer pathway from raw data to analytics, dashboards, AI use cases and operational insights.
- A roadmap for scaling Microsoft Fabric safely across teams, domains and business functions.
The questions clients ask first.
What is Microsoft Fabric used for?
How does OneLake fit into Microsoft Fabric?
Can Synenza help migrate existing Power BI solutions to Microsoft Fabric?
Do we need Microsoft Fabric if we already use Azure Synapse or Power BI?
Can Microsoft Fabric support AI and Copilot use cases?
How do you manage governance in Microsoft Fabric?
Let's scope a first conversation.
Tell us what you're trying to do. We'll come back with a point of view, not a sales pitch.