Telecom — Network Incident Supervision and Anomaly Detection Pipeline

Overview

The purpose of this DAG is to provide comprehensive supervision of telecom networks, enabling the detection of incidents and anomalies that could indicate fraud or operational issues. Triggered by system alerts, it incorporates various data sources such as network logs and performance metrics. The ingestion pipeline begins with collecting these logs and metrics, ensuring that the data is current and relevant. The first processing step involves data cleansing and normalization to prepare the data

The purpose of this DAG is to provide comprehensive supervision of telecom networks, enabling the detection of incidents and anomalies that could indicate fraud or operational issues. Triggered by system alerts, it incorporates various data sources such as network logs and performance metrics. The ingestion pipeline begins with collecting these logs and metrics, ensuring that the data is current and relevant. The first processing step involves data cleansing and normalization to prepare the data for analysis. Next, advanced anomaly detection algorithms are applied to identify irregular patterns that may signify potential incidents. Following this, the system generates detailed incident reports, which are then stored in an incident management system for easy access by operational teams. Throughout this process, key performance indicators (KPIs) such as detection accuracy, response time, and incident resolution rates are monitored to ensure the effectiveness of the system. The outputs of this DAG not only help in immediate incident response but also provide valuable insights for long-term network optimization. By implementing this DAG, telecom companies can significantly enhance their ability to detect and respond to network issues, ultimately leading to improved customer satisfaction and reduced financial losses due to fraud.

Part of the Fraud & Anomaly Analytics solution for the Telecom industry.

Use cases

• Reduces response time to network incidents
• Enhances fraud detection capabilities
• Improves operational efficiency and resource allocation
• Increases customer satisfaction through reliable service
• Provides actionable insights for network optimization