Managing Telecom Network Operations with AI-Powered Analytics

• Analytics & Modeling - Predictive Analytics
• Analytics & Modeling - Real Time Analytics

• Telecommunications

• Logistics & Transportation

• Predictive Maintenance
• Real-Time Location System (RTLS)

• Data Science Services

With the rollout of 3G and 4G technologies, telecommunication service offerings have grown. Cell phone usage has skyrocketed. Voice, video, and data have converged to offer rich new services that customers rely upon. High-definition video consumption and other services are consuming more network bandwidth, making it more important than ever to accurately manage and maintain network performance. In this case study, a leading provider of telecommunications services needed to ensure end-customer satisfaction and quickly mitigate any network performance issues, where any incident could easily cost them millions of dollars. They had to be able to monitor service assurance, as well as analyze data at detailed levels to track the underlying quality of network performance and to avoid unexpected outages. Managing multiple communication applications and platforms required advanced network monitoring and orchestration to ensure optimal network performance. The company didn’t have clear visibility into how network resources were used. Their available network management tools were static and only addressed specific needs, unable to provide reliable, transparent data for insights in real-time.

The customer in this case study is a leading provider of telecommunications services. With the rollout of 3G and 4G technologies, their service offerings have grown and cell phone usage has skyrocketed. Voice, video, and data have converged to offer rich new services that customers rely upon. High-definition video consumption and other services are consuming more network bandwidth, making it more important than ever for them to accurately manage and maintain network performance. They needed to ensure end-customer satisfaction and quickly mitigate any network performance issues, where any incident could easily cost them millions of dollars. They had to be able to monitor service assurance, as well as analyze data at detailed levels to track the underlying quality of network performance and to avoid unexpected outages.

The telecommunications company implemented Anodot’s AI-powered analytics to analyze and generate actionable insights from terabytes of siloed network data by correlating technical network data with network business KPIs. With automated machine learning algorithms continuously analyzing all time-series business data, Anodot can detect the business incidents that matter, and identify why they’re happening. Receiving data from multiple sources, like network service availability & performance metrics, customer retention & churn logs, revenue & profitability data, Anodot analyzes it and found anomalies quickly, providing unified alerting for any risk that comes up. By using Anodot, their network engineering and network monitoring teams now had a single, unified platform for understanding what is happening throughout their network. Quickly crunching usage data, like data traffic, usage patterns and call duration records, Anodot ensured in real-time a clear status for the company’s telecommunications networks, gauging performance levels and identifying any network or maintenance issues, providing immediate insights that enable the company to address issues that could lead to service disruptions or seize on opportunities to lower maintenance costs.

• Anodot provides a real-time, dynamic view of their operations.
• The company can collect and visualize real-time data.
• The company can identify the periods of heaviest network usage.