Client Data Analysis and Reporting with Microsoft Fabric
- Hollie Moran
- Apr 16
- 2 min read
Updated: May 24

The Challenge
A client required an end-to-end data processing and reporting solution to efficiently extract, transform, and analyse business data. The existing system faced:
Inefficient data processing – Large datasets required structured, scalable pipelines for transformation.
Limited data tracking – No system in place for incremental data changes and refresh cycles.
Manual reporting bottlenecks – Reporting processes lacked automation and integration with analytics platforms.
The Solution
Wiz Digital Services implemented Microsoft Fabric for seamless data integration, transformation, and reporting, ensuring real-time insights and enhanced reporting workflows.
Key Actions:
Organised data using Medallion Architecture, structuring datasets into bronze, silver, and gold layers for improved data governance.
Built incremental ETL pipelines to track key data changes and automate refresh cycles.
Deployed a custom API to extract curated gold-layer data and integrate it into Power BI.
Set up an automated email notification system to alert teams in case of pipeline failures.
Implemented vacuuming processes to remove unused and untracked files, optimising storage efficiency.
Published reports to Microsoft Fabric Workspaces, allowing end-users to access real-time analytics.
The Results
By modernizing data extraction, transformation, and reporting workflows, the client successfully:
Structured and optimised data – Using Medallion Architecture, data was organized for efficiency and accessibility.
Automated incremental data processing – Regular refresh cycles ensured up-to-date reports with minimal manual intervention.
Enabled real-time business insights – Power BI dashboards provided interactive visualizations for data-driven decision-making.
Improved storage efficiency – Vacuuming processes removed redundant files, maintaining optimal database performance.
Technical Stack
Microsoft Fabric – Data integration and analytics platform for managing ETL workflows.
SQL Server – Source database for client data extraction and transformation.
ETL Pipelines – Incremental data tracking and automated refresh cycles.
Medallion Architecture – Bronze, silver, and gold-layered data structuring.
Power BI – Reporting, visualization, and analytics for business insights.
Custom API – Extracting curated gold-layer data and integrating with Power BI.
Azure Data Factory (ADF) – Orchestration of data movement and transformation.
Email Notifications – Automated alerts for pipeline failures.
Vacuuming Process – Cleanup of unused files for optimal storage efficiency.
Why Choose Wiz Digital Services?
We provide scalable, high-performance data engineering solutions, helping businesses optimise data processing, automate insights, and streamline reporting workflows.
Leverage real-time analytics and automation for better decision-making.
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