Telecoms
Network and Customer Data Analytics
Empowers telecom teams to run real-time analytics on network performance, customer usage, and service quality. The worker enables operations teams to detect patterns in data usage, optimize network resources, and improve customer satisfaction based on real-time feedback and performance data.
Objective
- Enable real-time analysis of network performance, customer usage, and service quality.
- Detect patterns in data usage and optimize network resources.
- Provide actionable insights to improve customer satisfaction and reduce churn.
Outcome
- Enhanced network performance through data-driven resource optimization.
- Improved customer satisfaction with better service quality and reliability.
- Reduced operational costs by identifying inefficiencies in network usage.
- Increased customer retention by addressing service issues proactively.
Business Value
- Boost revenue by improving service reliability and reducing churn.
- Enhance competitive advantage with superior network and customer insights.
- Strengthen brand reputation as a provider of high-quality services.
- Optimize operational costs through data-driven resource management.
Data Approaches
- Network Performance Monitoring: Continuously analyze and optimize network usage.
- Customer Usage Analytics: Identify patterns in data consumption to offer tailored plans.
- Anomaly Detection: Detect and resolve network issues before they impact customers.
- Predictive Maintenance: Forecast and address potential network failures proactively.
