Telecom Industry
Overview
CLM Platform dapat di-deploy untuk telecom guna monitoring:
- Network infrastructure
- CDR (Call Detail Records) analysis
- Service quality monitoring
- Fraud detection
Key Use Cases
1. Network Monitoring
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ Network │────▶│ CLM Platform│────▶│ NOC │
│ Infrastructure│ │ │ │ Dashboard │
│ │ │ • Log search │ │ │
│ • Routers │ │ • Latency │ │ • Uptime │
│ • Switches │ │ • Throughput │ │ • Performance│
│ • Towers │ │ • Alert │ │ • Capacity │
└──────────────┘ └──────────────┘ └──────────────┘
2. CDR Analysis
| Analysis Type | Description | AI Keywords |
|---|---|---|
| Usage Pattern | Pola penggunaan | usage, pattern, behavior |
| Revenue Assurance | Pendapatan | revenue, assurance, leakage |
| Fraud Detection | Penipuan | fraud, anomaly, suspicious |
| Churn Prediction | Prediksi churn | churn, retention, loyalty |
| Capacity Planning | Perencanaan kapasitas | capacity, planning, growth |
3. Service Quality
| Metric | Description | Threshold |
|---|---|---|
| Call Drop Rate | Panggilan terputus | < 1% |
| Network Availability | Ketersediaan jaringan | > 99.9% |
| Latency | Waktu tunda | < 50ms |
| Throughput | Laju data | > 100 Mbps |
| Packet Loss | Kehilangan paket | < 0.1% |
AI/ML Keywords for Telecom
Network Analysis
network_monitoring, network_analytics, network_performance,
traffic_analysis, bandwidth_monitoring, capacity_planning,
network_optimization, network_security, intrusion_detection
CDR Analysis
cdr_analysis, call_detail_records, usage_analytics,
revenue_assurance, revenue_leakage, tariff_optimization,
billing_analytics, subscriber_analytics, usage_patterns
Fraud Detection
telecom_fraud, subscription_fraud, international_revenue_share,
sim_box_detection, wangiri_fraud, voip_fraud,
cloned_sim_detection, location_spoofing
Operations
noc_operations, service_quality, customer_experience,
field_force_management, ticket_management, sla_management,
incident_management, problem_management
Dashboard Metrics
Network Metrics
| Metric | Description | Alert Threshold |
|---|---|---|
| Network Availability | Ketersediaan | < 99.9% |
| Latency | Waktu tunda | > 50ms |
| Throughput | Laju data | < 100 Mbps |
| Packet Loss | Kehilangan | > 0.1% |
| Error Rate | Error | > 0.1% |
Business Metrics
| Metric | Description | Target |
|---|---|---|
| Call Drop Rate | Panggilan terputus | < 1% |
| Subscriber Growth | Pertumbuhan | > 5%/bulan |
| Revenue per User | Pendapatan | > Rp 100rb |
| Churn Rate | Churn | < 2% |
Deployment Checklist
- Network monitoring integration configured
- CDR analysis pipelines set up
- Fraud detection rules defined
- NOC dashboards configured
- Alert channels configured (PagerDuty, SMS)
- SLA monitoring configured
- Capacity planning dashboards set up
- RBAC roles defined for NOC staff
Next Steps
- Manufacturing - Manufacturing use case
- AI Keywords - AI/ML keyword mapping