Telco Corporation Case Study
How Entel Uses HEAVY.AI to Accelerate Network Analytics & Improve Customer Experience
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Multi-factor location data, such as signal strength and data speeds at specific towers, helps determine schedules for antenna upgrades before hardware deteriorates
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Comprehensive measurements of customer experience across the network and competitors improves understanding of QoS and decrease customer churn
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Real-time, granular visualizations of network performance data enables fast detection and resolution of performance issues
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Dashboards help marketing managers easily identify competitive comparisons, tailor service offerings to each customer segment, and better determine opportunities to grow their customer base
No-code data joins
The volume and complexity of Entel’s data exceeded the capability of legacy tools to adequately access, analyze, and visualize it quickly and at scale. In this lag, network performance issues went undetected, which led to customer churn. Entel required an advanced data analytics and visualization solution to deliver instant network performance insights.
Entel adopted HEAVY.AI’s analytics solution to map and analyze massive, complex data in a fraction of a second. They identified network performance issues and solved them before customers were significantly impacted. Hardware-accelerated (e.g., GPU) dashboards facilitate fast, precise monitoring and analysis of 200 million records per month from their network and mobile data sourced from Tutela Technologies, Ltd.
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