Medical Device Manufacturer (Private Client)

MILL5 partnered with a global medical device manufacturer to design, build, and operate an enterprise data platform on Microsoft Fabric. The engagement unified SAP enterprise data, real-time device telemetry, and field service records into a single governed environment on OneLake, delivering near-real-time insight to service, operations, supply chain, and finance teams through Power BI. The engagement focused on improving device uptime, accelerating service resolution, optimizing spare parts inventory, and establishing a governed data foundation for AI-driven operations.

The client is a global leader in medical equipment and technologies whose devices support clinical care in hospitals and healthcare institutions around the world. Device uptime, rapid service response, and reliable operations are directly tied to patient care and customer trust. The organization faced several data and analytics challenges that limited visibility and slowed decision-making across the business.

• Critical business data fragmented across SAP, device telemetry, IT service management, and field service systems, with no single governed source of truth
• Service teams lacked a unified view of device history, telemetry, and parts usage, extending diagnosis and repair times and limiting first-time-fix performance
• Reporting lagged the pace of the business, with leaders unable to access near-real-time insight into device health, incidents, and key performance indicators
• Spare parts inventory decisions made without complete visibility, driving excess carrying costs and emergency shipments
• Clear ambitions around predictive device health, AI-assisted service triage, and automated analytics, but no governed data foundation to support them
• Need for enterprise-grade governance, security, and PII safeguards appropriate for a highly regulated healthcare environment

• Designed and implemented an enterprise data platform on Microsoft Fabric, unifying SAP data, real-time device telemetry, service management records, and service logs in a governed OneLake environment with end-to-end, auditable lineage
• Improved device uptime by 2-5% and reduced mean time to repair by 25-40% through unified device history and real-time monitoring
• Increased first-time-fix rates by 10-20% via AI-guided service triage and knowledge base search
• Reduced spare parts carrying costs by 8-15% and decreased emergency shipments through improved inventory visibility
• Improved billing accuracy and reduced days sales outstanding by 3-7 days
• Reduced manual analysis effort by 30-50% through narrative BI and Copilot capabilities
• Improved demand and service forecasting accuracy by 10-20%, with earlier anomaly detection and fewer false alarms
• Lowered total cost of ownership by 20-35% through platform consolidation
• Delivered near-real-time data freshness with pipeline reliability at or above 99.5%, enabling new data products in days rather than weeks
• Established enterprise governance with role-based access, row-level security, sensitivity labels, audit logging, and PII safeguards
• Continues to operate the platform with proactive monitoring, freshness SLAs, cost management, and continuous KPI-driven improvement