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.