Tebeau Group Builds Interactive Cell Tower Health Visualization for AT&T's Network Quality Assurance Across Texas and Nationwide

Interactive Data VisualizationGoogle Maps IntegrationRedis BackendNetwork Monitoring UI

Challenges

Massive Data Visualization: AT&T needed to visualize thousands of cell tower health data points across Texas (later nationwide) in a way that was both performant and actionable for network operations teams.
Real-Time Monitoring: Network quality data changed constantly, requiring a system that could display real-time health status without page refreshes or manual data pulls.
Actionable Intelligence: Raw data wasn't enough—the visualization needed to help operations teams quickly identify problem areas and deploy technicians to the right locations.

Solution

Tebeau Group engineered an interactive map-based visualization platform that transformed raw network telemetry into actionable intelligence for AT&T's operations teams.

Google Maps Canvas Visualization: Built an interactive map that plotted geo-coordinates for every sub-tower with color-coded clusters (green to red) showing network health status at a glance.
Dynamic Cluster Drilling: Implemented zoom-based cluster decomposition that broke aggregated views into granular tower-level data, enabling precise identification of problem areas.
Redis Real-Time Backend: Connected the front-end UI to a Redis backend server for real-time data streaming, ensuring operations teams always saw current network health status.
Tech Agent Deployment: The visualization enabled operations managers to identify problem clusters and deploy field technicians to specific tower locations for rapid resolution.

Voice of Customer

"The network visualization tool Tebeau Group built fundamentally changed how we monitor and respond to network quality issues. It turned data into action."

Impact

Nationwide Expansion: The platform's success in Texas led to nationwide deployment across AT&T's entire cell tower network.
2.5 Year Engagement: The project's value sustained a continuous development relationship spanning approximately 2.5 years.
Faster Response Times: Visual identification of problem areas enabled faster technician deployment and reduced network downtime.
Technology Innovation: Pioneered the use of CoffeeScript and Sass preprocessors in enterprise-scale visualization applications.

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