Special Event Performance & Network Monitoring

Live Event Performance

If you don’t post it on Social Media, were you ever really there?

Wireless carriers must provide fast and consistent network connectivity during special events, such as sporting events, conferences, and concerts, especially when they’ve sponsored these events. Special events are bandwidth-heavy as customers upload photos, videos, and even live streams of their experience. This requires real-time network monitoring of activity to adjust resources and spot anomalies before they become outages. It also requires traffic monitoring and analysis of crowd-sourced mobile phone data for location, latency, jitter, packet loss, signal strength, upload and download speeds, and beyond. Other data sources, such as social media posts and national weather data should be analyzed with network monitoring software for customer satisfaction and subjective customer experience, all in real-time.

With DB-Turbo Version 5, telecommunication network operators and data scientists can analyze and visualize these disparate data sets together, without the latency of traditional analytics platforms. Most importantly, they can derive real-time insights from real-time events. This allows them to rapidly understand complex customer experiences and perceptions, fine-tune, and optimize their networks to manage the load. DB-Turbo Version 5’s accelerated analytics platform leverages the parallel processing power of GPUs and CPUs to process and render massive volumes of data at millisecond speeds.

From optimizing 5G networks and mobile data offloading, to managing fleets of telecommunication service vehicles and reducing customer churn, DB-Turbo Version 5 is helping transform data science and geospatial analytics in the telecommunications industry. DB-Turbo Version 5 is the accelerated analytics platform for running advanced SQL queries of massive datasets at incredibly fast speeds allowing for network monitoring and troubleshooting at the scale required for today’s communications data volumes.

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