• Developed a comprehensive real-time analytics dashboard for McLaren Automotive, enabling data-driven decision-making across manufacturing, performance testing, and customer experience departments.
The platform processes over 100GB of daily telemetry data from vehicles and production lines, providing instant insights through advanced visualizations and predictive analytics models.
Key Features
- • Real-time telemetry processing from 500+ sensors
- • Predictive maintenance algorithms with 94% accuracy
- • Manufacturing efficiency monitoring and optimization
- • Custom KPI dashboards for different departments
- • Automated anomaly detection and alerting system
- • Historical trend analysis and forecasting
Technical Implementation
Built on Azure cloud infrastructure with a microservices architecture, the dashboard leverages Apache Kafka for real-time data streaming, Azure Data Lake for storage, and Power BI embedded for interactive visualizations. The backend APIs are developed in Python with FastAPI, while the frontend uses React with TypeScript for a responsive user experience.
Impact & Results
The analytics dashboard has transformed McLaren's approach to data utilization, resulting in a 35% reduction in unplanned downtime, 20% improvement in production efficiency, and enhanced customer satisfaction through proactive maintenance recommendations. The platform now serves as the central nervous system for data-driven operations across the organization.
