Telecom Network Analytics & Customer Intelligence
Reducing churn by 40% with predictive analytics
Key Results
Client Overview
A leading national telecom operator with comprehensive services:
- $15B+ annual revenue
- 50M+ mobile and broadband subscribers
- 4G/5G network covering 95% population
- Mobile, broadband, and enterprise services
- 25+ years of operations
Challenges Addressed
High Customer Churn
Losing 3% of subscribers monthly to competitors with no early warning system to identify at-risk customers.
Network Blind Spots
Unable to proactively identify network issues before they impact customer experience.
Reactive Customer Service
Call center overwhelmed with complaints instead of proactively resolving issues.
Siloed Data
Network, billing, and customer data in separate systems preventing unified analytics.
Limited Personalization
One-size-fits-all offers instead of personalized recommendations based on usage.
Fraud Losses
Significant revenue leakage from subscription fraud and SIM swap attacks.
Project Timeline
| Phase | Duration | Activities | Deliverables |
|---|---|---|---|
| Data Strategy | 4 Weeks |
| Analytics Roadmap |
| Data Platform | 10 Weeks |
| Unified Data Platform |
| Network Analytics | 8 Weeks |
| Network Intelligence Suite |
| Customer Analytics | 10 Weeks |
| Customer Intelligence Platform |
| Operationalization | 6 Weeks |
| Production Analytics |
Solutions Delivered
Predictive Churn Prevention
Machine learning models analyzing 500+ signals to predict churn 60 days in advance with personalized retention offers.
Network Intelligence Platform
AI-powered network monitoring with anomaly detection, predictive maintenance, and automated issue resolution.
Customer 360 Analytics
Unified customer view combining network experience, billing behavior, and service interactions for personalized engagement.
Fraud Detection System
Real-time fraud detection analyzing SIM swaps, subscription fraud, and usage anomalies with automated blocking.
Project Team Composition
Total team size: 23 professionals
Results Achieved
40% Churn Reduction
Proactive retention success
25% ARPU Increase
Better monetization
60% Faster Resolution
Proactive issue detection
$10M Fraud Prevention
Annual savings
3x Campaign ROI
Personalized offers
99.5% Network Uptime
Predictive maintenance
Client Testimonial
"Viprata's analytics platform has transformed how we understand and serve our customers. The ability to predict and prevent churn, combined with network intelligence, has given us a significant competitive advantage."
Chief Data Officer
National Telecom Operator
Viprata Software Services
www.viprata.com • [email protected] • +1 (916)-412-2232
For more information about this case study or to discuss your transformation journey, please contact us.
Telecom Network Analytics & Customer Intelligence
Reducing churn by 40% with predictive analytics
The Client
A leading national telecom operator with comprehensive services:
- $15B+ annual revenue
- 50M+ mobile and broadband subscribers
- 4G/5G network covering 95% population
- Mobile, broadband, and enterprise services
- 25+ years of operations
The Challenges
High Customer Churn
Losing 3% of subscribers monthly to competitors with no early warning system to identify at-risk customers.
Network Blind Spots
Unable to proactively identify network issues before they impact customer experience.
Reactive Customer Service
Call center overwhelmed with complaints instead of proactively resolving issues.
Siloed Data
Network, billing, and customer data in separate systems preventing unified analytics.
Limited Personalization
One-size-fits-all offers instead of personalized recommendations based on usage.
Fraud Losses
Significant revenue leakage from subscription fraud and SIM swap attacks.
Project Timeline
Data Strategy
Activities
- Data landscape assessment
- Use case prioritization
- Architecture design
- Data governance framework
Deliverables
Analytics Roadmap
Data Platform
Activities
- Data lake implementation
- Real-time streaming setup
- Data quality framework
- Master data management
Deliverables
Unified Data Platform
Network Analytics
Activities
- Network health scoring
- Anomaly detection
- Predictive maintenance
- Coverage optimization
Deliverables
Network Intelligence Suite
Customer Analytics
Activities
- Churn prediction models
- Lifetime value scoring
- Next-best-action engine
- Fraud detection
Deliverables
Customer Intelligence Platform
Operationalization
Activities
- Dashboard deployment
- Alert automation
- User training
- Model monitoring
Deliverables
Production Analytics
Our Solution
Predictive Churn Prevention
Machine learning models analyzing 500+ signals to predict churn 60 days in advance with personalized retention offers.
Network Intelligence Platform
AI-powered network monitoring with anomaly detection, predictive maintenance, and automated issue resolution.
Customer 360 Analytics
Unified customer view combining network experience, billing behavior, and service interactions for personalized engagement.
Fraud Detection System
Real-time fraud detection analyzing SIM swaps, subscription fraud, and usage anomalies with automated blocking.
Project Team
The Results
40% Churn Reduction
Proactive retention success
25% ARPU Increase
Better monetization
60% Faster Resolution
Proactive issue detection
$10M Fraud Prevention
Annual savings
3x Campaign ROI
Personalized offers
99.5% Network Uptime
Predictive maintenance
Viprata's analytics platform has transformed how we understand and serve our customers. The ability to predict and prevent churn, combined with network intelligence, has given us a significant competitive advantage.
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