Industries
Telecommunications
Network, customer and billing analytics at very large scale.
Overview
Telecom operators handle huge volumes of network and subscriber data. Analytics can improve network planning, customer experience and the efficiency of data platforms themselves.
Common challenges
- Very large event volumes
- Churn in competitive markets
- Network fault detection and planning
- Cost of legacy data platforms
Where AI and data science help
Churn prediction
Anticipate and understand customer departure.
Network anomaly detection
Find degradations before customers notice.
Capacity planning
Forecast traffic and plan investment.
Data platform consolidation
Rationalise storage and pipelines.
Typical data sources
- Network events and logs
- Customer and usage records
- Billing data
- Care interactions
Responsible use
Subscriber data is subject to telecom privacy rules, which we follow in design and handling.
Bring us a decision you want to improve.
Tell us about the problem and the data you have. We will reply with a candid view of where we can help.