Smart Axiata was for years unable to monitor its tens of thousands of KPIs. Troubleshooting often took hours or even days.

In this video, CTO Andrey Kuzin and Senior Data Analyst Ming Jin Siew share how Anodot has helped them improve their monitoring capabilities and prevent network incidents from going unnoticed.

With only the most essential alerts related to critical KPIs, the company now has a more comprehensive set of metrics to help ensure that their customers are better served. These metrics include numbers on data connections, traffic profiles as well as the status of subscribers’ data usage, which holds immense value for understanding market movements.

Learn More: Read Smart Axiata’s Case Study

Smart Axiata is using Anodot to better leverage all of the company’s accumulated data, to create alerts only when they are truly needed and to save can direct their energies towards expanding in the future.

Go to our Telco page to see how other leading telcos are using Anodot Autonomous Analytics to find and fix business incidents faster than is humanly possible.

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Written by Anodot

Anodot leads in Autonomous Business Monitoring, offering real-time incident detection and innovative cloud cost management solutions with a primary focus on partnerships and MSP collaboration. Our machine learning platform not only identifies business incidents promptly but also optimizes cloud resources, reducing waste. By reducing alert noise by up to 95 percent and slashing time to detection by as much as 80 percent, Anodot has helped customers recover millions in time and revenue.

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