Network Reliability Analysis

Billions of Transactions

Billions of social and internet transactions, mobile usage logs, and sensor data packets flow continuously across telecommunications networks. Yet when network analysis tools are unable to query and visualize the entire stream of telco data at anywhere near the speed that it’s generated, network analysts cannot identify issues that harm network reliability. Quite often, they hear first about network reliability problems from their customers, who complain to the call center, rather than detecting the problem early with better network performance monitoring tools.

Visualizing Network Security and Reliability

OmniSci leverages the parallel processing power of GPUs to accelerate SQL queries and visualize all telecommunications network data, without the data sampling required by mainstream analytics solutions. OmniSci’s front-end visualization system allows network analysts and data scientists to interact with this telco data in real-time, rapidly discovering actionable intelligence around network performance, signal strength, security, download speeds, signal-to-noise ratio, and the quality of the customer experience. This ability to ingest billions of rows of data and visualize it dynamically in real-time makes OmniSci one of the most powerful network analysis tools available.

Spatiotemporal Network Performance Management

Because OmniSci analyzes spatiotemporal data at scale and with zero latency, Network Operations Centers (NOCs) can continuously map network performance by location and analyze how it changes in specific service areas, over time. OmniSci allows for network performance monitoring in real-time at scale so network analysts are equipped with a holistic view of cellular network reliability at levels previously unimaginable. Find out what else OmniSci does for the Telecommunications Industry.

GPU-accelerated Analytics Explained

OmniSci is the pioneer in GPU-accelerated analytics, redefining speed and scale in big data querying and visualization.

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