Case Study: Microsoft Fabric Proof of Value for Financial Data Modernisation
24/06/2026

Case Study: Microsoft Fabric Proof of Value for Financial Data Modernisation

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Finance reporting, resource planning, and operational tracking are complex processes that involve not only numerous data sources but also a significant amount of manual effort. Connecting systems, reading Excel spreadsheets, and understanding formulas - and sometimes even macros - can be challenging.

Our client required a modern, scalable data foundation in Microsoft Fabric to improve financial reporting, reduce manual data preparation, and establish a robust foundation for future analytics. We successfully delivered this solution, enabling a more efficient and scalable reporting environment.

The problem

The organisation relied on multiple fragmented systems for finance, fundraising, resource planning and operational tracking.​ Reporting was supported by Azure SQL, Azure Data Factory and Power BI, but data remained spread across separate sources and preparation processes.​ This made it difficult to create a consistent, trusted view of performance across the organisation.​

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 solution

The challenge of the project 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. To achieve it, we delivered a Microsoft Fabric solution using a modern, layered data architecture.​

This solution connected multiple source systems, including the accounting system, Salesforce and other operational platforms, into a unified data foundation.​ Power BI reporting was delivered directly from Fabric, giving users access to trusted data through a single reporting layer.​ It automated data ingestion, transformation, and reporting while establishing a roadmap for future integrations and enterprise-wide Fabric adoption.

The impact

Unified platform: Created a single reporting platform across finance, fundraising and operational data.​

Efficiency: Automated key data ingestion and transformation processes.​

Trusted reporting: Improved consistency and reliability of business reporting.​​

Scalability: Established a reusable foundation for future data sources and analytics use cases.​

Governance: Implemented data governance with Microsoft Purview.

Key Takeaway

A successful data platform is about creating a trusted, scalable foundation that supports reporting today and AI initiatives tomorrow.