Telecom — Network Asset Management Workflow for Operational Optimization

Overview

The purpose of this DAG is to effectively manage network data assets, ensuring their optimal utilization within the telecom industry. The data sources include asset management systems and comprehensive network logs, which are essential for maintaining an accurate inventory of network assets. The ingestion pipeline begins with data extraction from these sources, followed by an inventory process that catalogs all assets. Next, usage analysis is performed to assess how efficiently these assets are

The purpose of this DAG is to effectively manage network data assets, ensuring their optimal utilization within the telecom industry. The data sources include asset management systems and comprehensive network logs, which are essential for maintaining an accurate inventory of network assets. The ingestion pipeline begins with data extraction from these sources, followed by an inventory process that catalogs all assets. Next, usage analysis is performed to assess how efficiently these assets are being utilized, identifying any underused or overused components. The DAG also includes maintenance planning steps, where predictive analytics are applied to schedule necessary maintenance activities based on usage trends and asset conditions. Quality control measures are implemented throughout the process to ensure data accuracy, including validation checks and anomaly detection. The outputs of this DAG consist of detailed reports on asset utilization, maintenance schedules, and recommendations for operational improvements. Monitoring KPIs such as asset utilization rates, maintenance frequency, and operational costs provide insights into performance and drive continuous improvement. The business value of this DAG lies in its ability to optimize operations, reduce costs, and enhance service delivery in the telecom sector.

Part of the AI Assistants & Contact Center solution for the Telecom industry.

Use cases

• Reduces operational costs through efficient asset utilization
• Enhances service reliability and customer satisfaction
• Improves decision-making with data-driven insights
• Facilitates proactive maintenance to prevent outages
• Streamlines asset management processes for better efficiency