Big Data Analytics Telecom Case Study
Why a Major Telco Chose HEAVY.AI to Accelerate Decision Making and Optimize Network Performance & Utilization
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Curated data and visualization builds for network operations analysis decreased from 6 to 8 months to 15 to 20 minutes
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Decreased time to problem resolution thanks to real-time visualizations of network congestion; specific metrics; correlations and trends; and different sensor data
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Intuitive user interfaces eliminated the need to recruit teams of dedicated data scientists
No-code data joins
A major telecommunication company’s operations teams require access to real-time data for critical decision-making. Accessing, analyzing, and visualizing structured and unstructured data from vast and varied data sources is essential for monitoring and maintaining their quality of experience. This big data telecom case study shows how a major telco needs to perform real-time drill-downs and make information available to a cross-functional team for high quality exploration and analysis.
HEAVY.AI is able to access and query data from this major telco’s many different sources, some of which are petabyte size, at unprecedented speeds. This delivers real-time, actionable data to network operations teams equipped with the domain knowledge to explore and take action on network data to improve customer service and experience. HEAVY.AI provides a centralized location for immersive, interactive visualizations and intuitive dashboards that help democratize data and empower existing teams.
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