Telecommunications - 5G Network Analytics & OSS/BSS Modernization

Overview

A global tier-1 telecommunications provider serving 50+ million subscribers across 4G/5G networks needed to modernize network operations center (NOC) capabilities, implement predictive maintenance, integrate legacy OSS/BSS systems, and transform customer experience management while avoiding cloud vendor lock-in.

Key Challenges

• Over-reliance on single cloud provider limiting 5G infrastructure deployment flexibility and increasing operational costs

• Network performance telemetry data processed in overnight batch jobs—critical issues discovered hours too late

• Customer service teams lacking real-time visibility into network performance issues impacting subscriber experience

• Unable to predict network equipment failures and capacity constraints before causing service disruptions

• Fragmented subscriber data across billing (BSS), network usage (OSS), and customer care systems preventing proactive engagement

• Legacy OSS/BSS systems with limited API integration capabilities hampering digital transformation

• High cloud infrastructure costs for storing and processing massive network telemetry volumes with limited vendor negotiation power

• Network scalability constraints during peak usage periods (New Year's Eve, major sporting events, natural disasters)

• Difficulty correlating network QoE (Quality of Experience) metrics with subscriber satisfaction and churn

• Mean Time to Repair (MTTR) exceeding SLA targets impacting customer NPS scores

Our Approach

• 1

  Designed strategic multi-cloud architecture across AWS, Azure, and GCP to avoid vendor lock-in and optimize telecom workload placement

• 2

  Implemented Databricks Lakehouse as unified network analytics platform spanning all cloud providers

• 3

  Built real-time streaming data pipelines processing millions of 5G/4G network events per second from RAN, core network, and transport

• 4

  Deployed predictive ML models for network equipment failure detection, capacity forecasting, and anomaly detection

• 5

  Integrated legacy OSS systems (network inventory, fault management, performance monitoring) and BSS systems (billing, subscriber management)

• 6

  Created unified subscriber 360 platform integrating network usage patterns, billing history, customer support interactions, and service quality metrics

• 7

  Established real-time Network Operations Center (NOC) dashboards with AI-powered predictive alerts and root cause analysis

• 8

  Implemented cloud-agnostic infrastructure orchestration using Terraform and Kubernetes for workload portability

• 9

  Architected geo-redundant disaster recovery and high-availability architecture across multiple cloud regions

• 10

  Built customer-facing mobile app with real-time network quality indicators, personalized plan recommendations, and proactive service notifications

• 11

  Created network Quality of Experience (QoE) analytics correlating technical metrics with subscriber satisfaction (NPS)

Key Outcomes

• Reduced network outages by 38% through AI-powered predictive maintenance and proactive equipment replacement

• Improved customer Net Promoter Score (NPS) by 52 points with proactive issue resolution and personalized communication

• Achieved 30% cost reduction through multi-cloud FinOps optimization, competitive pricing negotiations, and intelligent workload placement

• Enabled real-time 5G/4G network performance monitoring across global infrastructure with <1 second latency

• Predicted network equipment failures an average of 6 hours before subscriber impact enabling preventive maintenance

• Reduced Mean Time to Resolution (MTTR) by 65% with real-time fault diagnostics and automated root cause analysis

• Launched AI-powered subscriber app providing real-time network quality insights and personalized service recommendations

• Scaled analytics platform to process 10+ billion network telemetry events daily without performance degradation

• Strengthened vendor negotiation leverage, securing 25% better pricing across all cloud providers

• Established cloud-agnostic telecom architecture enabling seamless workload migration and disaster recovery failover

• Reduced subscriber churn by 19% through proactive network quality monitoring and customer experience intervention