Network reliability reports are now produced in seconds, down from 20+ minutes, and engineers can identify anomalies and trends in minutes, down from 45+ minutes
During the pandemic, real-time tracking of traffic flow changes across mobile phone networks enabled Verizon to allocate resources to boost network capacity on a base station by base station basis
Thorough analysis of specific customer segments’ movements and usage patterns improves the ability to identify which segments of the network would be most impactful to invest in
No-code data joins
The core network team could not efficiently access, visualize, and analyze Verizon’s 10 billion streaming records per week with their existing telecom analytics solutions. This led to delayed reporting of degradations and outages, and an insufficient understanding of the behavior of specific segments of their customer base. Verizon, as a leader in the telecommunications industry, needed an advanced solution to handle heavy data streams and provide a comprehensive and granular view of network performance and customer behavior.
Verizon adopted HEAVY.AI’s hardware-accelerated analytics, GeoSQL, and interactive visualization capabilities to proactively track changes in traffic flows across its mobile networks in near real-time. Additionally, they identify network pain points, allocate investments and resources accordingly, anticipate usage trends, optimize network investments, maintain network reliability and maximize experience improvements during peak load traffic.