Data Analytics & Infrastructure Uplift

DetectedX provides high-level radiology learning modules to a global client base, including universities, OEMs, and hospitals. As institutional subscriptions grew, the internal team faced a significant operational bottleneck: manual reporting.

Reporting challenges:

• Manual Data Extraction: Custom scripts required for every client report request
• Excel Dependency: Time-consuming manual charting for individual metrics
• Significant Delays: Simple reports took hours or even days to generate
• Scalability Crisis: Workflow couldn’t keep pace with growing institutional accounts
• Static Insights: Manual Excel files lacked interactivity for deeper data exploration
• Resource Drain: Valuable team time wasted on repetitive reporting tasks

Common client requests–registration rates, quiz scores, interaction depth–each required manual effort to extract, transform, and visualise data.

Leveraging Microsoft Fabric, we designed an automated data infrastructure that transformed DetectedX's reporting capabilities.

Implementation highlights:

• Automated Data Pipeline: Eliminated manual scripting with scheduled ETL processes
• Data Cleaning & Transformation: Robust data quality checks and standardisation
• Interactive Power BI Dashboard: Self-service analytics platform for instant insights
• Tailored Report Generation: One-click report downloads customised for each client
• Scalable Architecture: Infrastructure designed to grow with institutional accounts
• Real-time Analytics: Live data updates enabling proactive decision-making

The transformation eliminated manual reporting overhead entirely, empowering the DetectedX team with robust data models to drive strategic improvements and respond to client requests instantly.

DetectedX gained a self-service analytics foundation that made institutional reporting faster, more repeatable, and easier to scale.

Business impact:

• Reduced reliance on manual scripts and spreadsheet-based report preparation
• Enabled faster generation of tailored reports for universities, OEMs, and hospitals
• Improved visibility into learner engagement, registrations, quiz scores, and module interactions
• Created a scalable reporting model that could grow with institutional subscriptions