Telecom — Customer Interaction Performance Monitoring Pipeline

Overview

The primary purpose of this DAG is to monitor the performance of scoring models used in customer personalization within the telecom industry. It ingests data from various sources, including customer interaction logs, scoring model outputs, and performance metrics. The data ingestion pipeline collects these inputs systematically to ensure comprehensive analysis. Processing steps include data validation, performance metric calculation, anomaly detection, and report generation. Quality controls are

The primary purpose of this DAG is to monitor the performance of scoring models used in customer personalization within the telecom industry. It ingests data from various sources, including customer interaction logs, scoring model outputs, and performance metrics. The data ingestion pipeline collects these inputs systematically to ensure comprehensive analysis. Processing steps include data validation, performance metric calculation, anomaly detection, and report generation. Quality controls are implemented to ensure the reliability of the data, with alerts configured to notify stakeholders of any detected anomalies or drifts in model performance. In the event of an anomaly, a detailed report is generated for further analysis, allowing teams to investigate and address issues promptly. The results of this monitoring are visualized in an intuitive dashboard, enabling easy tracking of key performance indicators (KPIs) such as model accuracy, interaction success rates, and customer satisfaction scores. By delivering timely insights and facilitating proactive management of scoring models, this DAG enhances the overall business value by improving customer engagement and personalization strategies.

Part of the Customer Personalization solution for the Telecom industry.

Use cases

• Enhanced customer engagement through personalized interactions
• Proactive identification of performance issues in scoring models
• Improved decision-making based on data-driven insights
• Increased customer satisfaction through optimized service delivery
• Streamlined operations with automated monitoring and reporting