Real problems, real solutions, real outcomes.
Challenge: 340-bed hospital with 4-hour average ED wait times, data siloed across 6 systems.
Solution: Unified data lake on Azure, real-time Power BI dashboards, predictive staffing models.
Challenge: $40M retailer with 12 locations, 30% overstock on seasonal items, no demand forecasting.
Solution: Microsoft Fabric data lakehouse integrating POS, e-commerce, and supplier data. ML demand models.
Challenge: 47 CNC machines, unplanned downtime costing $180K/month, no sensor data visibility.
Solution: IoT sensor deployment, Azure IoT Hub, real-time machine health scoring (0-100), Power BI OEE dashboards.
Challenge: 400K-resident county running critical services on 20-year-old FoxPro databases. FOIA requests took weeks.
Solution: Migrated to SQL Server, built modern web interface, Power BI for department heads, automated FOIA workflow.