ShareThe high-level goal for this project was to establish a modern, scalable data foundation in Microsoft Fabric by migrating a key financial data source (XLedger) into a Fabric-native architecture. Reporting, improving data governance, and a clear roadmap for future enterprise-wide data integration were the key features we decided on with the client.
The problem
The existing reporting platform relied on Azure SQL, Azure Data Factory, and Power BI. While effective, the organisation wanted to evaluate Microsoft Fabric as a strategic platform for future data and analytics initiatives. Microsoft Fabric is Microsoft’s all-in-one data and analytics platform that brings together data engineering, data integration, data warehousing, business intelligence, data science, and AI into a single SaaS solution.
The challenge was to demonstrate how Fabric could simplify data management, improve reporting capabilities, and provide a scalable foundation for future integrations, while minimising disruption to existing operations.
The Proof of Value needed to:
- Integrate financial data from XLedger into Microsoft Fabric
- Establish a modern medallion architecture (Bronze, Silver, Gold)
- Demonstrate reporting capabilities using Fabric-native services
- Provide a roadmap for future Salesforce and multi-source integrations
- Validate Fabric as a long-term data platform strategy
The solution
We delivered a Microsoft Fabric Proof of Value, integrating financial data from XLedger into a Fabric-native medallion architecture (Bronze, Silver, Gold). The solution automated data ingestion, transformation, and reporting while establishing a roadmap for future integrations and enterprise-wide Fabric adoption.
The solution included:
Data Ingestion & Storage
- Connected XLedger financial data to Microsoft Fabric
- Leveraged Fabric-native mirroring to synchronize Azure SQL data into a Fabric Lakehouse
- Built automated ingestion pipelines to load and archive source data
Medallion Architecture
- Implemented Bronze, Silver, and Gold layers within Fabric Lakehouses
- Created transformation processes to cleanse, enrich, and prepare data for analytics
- Established a Fabric Data Warehouse as the presentation layer for reporting
Reporting & Analytics
- Delivered a Power BI report powered directly by Fabric Warehouse data
- Enabled business users to access trusted financial data through a single reporting layer
Platform Engineering & Governance
- Configured development, test, and production environments
- Implemented CI/CD deployment pipelines
- Established monitoring, data freshness tracking, and documentation
- Created a migration roadmap for future Salesforce integration and broader Fabric adoption
The impact
- Successfully validated Microsoft Fabric as a future-state analytics platform
- Established a scalable data architecture using Fabric-native services
- Automated data ingestion and transformation processes
- Delivered trusted reporting directly from Fabric Data Warehouse
- Created a foundation for future Salesforce and multi-source integrations
- Provided a clear roadmap for full Fabric migration and enterprise-wide adoption
Key Takeaway
A successful data platform is about creating a trusted, scalable foundation that supports reporting today and AI initiatives tomorrow.