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Real-time Analytics Dashboard
Created a comprehensive analytics platform using .NET 8, SignalR, and Azure SQL Database. Features real-time data visualization, predictive analytics, and custom reporting.
Client
Logistics & Supply Chain Company
Duration
7 months
Year
2024
Role
Full Stack Developer
Project Overview
A powerful real-time analytics platform that provides instant insights into business operations. The dashboard aggregates data from multiple sources, processes it in real-time, and presents actionable insights through interactive visualizations and predictive analytics.
Challenges
- 1Processing millions of events per minute in real-time
- 2Building responsive visualizations for large datasets
- 3Implementing predictive models for demand forecasting
- 4Ensuring data consistency across distributed systems
Solutions
- Implemented event-driven architecture with Azure Event Hubs
- Built real-time UI updates using SignalR WebSockets
- Integrated Azure ML models for predictive analytics
- Used Azure SQL with read replicas for query optimization
Results & Impact
Real-time visibility into 500+ distribution centers
25% improvement in demand forecasting accuracy
30% reduction in inventory holding costs
Sub-second dashboard refresh rates
Key Features
Real-time data streaming
Interactive data visualizations
Predictive analytics and forecasting
Custom report builder
Alert and notification system
Export to multiple formats
Technologies Used
.NET 8SignalRAzure SQL DatabaseAzure Event HubsAzure Stream AnalyticsReactD3.jsAzure ML
Tags
.NETSignalRAzure SQLAnalytics