Real-Time Network Intelligence with CAP*M Analytics

case study

Optimizing Telco Profitability at Hyperscale

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Industry:   Telecommunications

Headquarters: Europe

Coverage: Regional Client

Background

A major telecommunications provider in Southeastern Europe faced pressing demands to enhance network performance, monetize subscriber behavior data, and ensure regulatory compliance. With millions of concurrent VOIP sessions, call records, roaming events and data streams flowing continuously, the operator needed an analytics infrastructure capable of hyperscale ingestion, real-time processing, and cross-domain insight.

Their legacy systems lacked the agility to process the bursting volumes of incoming data, which according to mLogica had grown nearly 600% globally in recent years. Without new capabilities, the operator risked revenue leakage, customer churn, network degradation, and fines for non-compliance.

As customer expectations and regulatory scrutiny surge, telecom operators must evolve beyond traditional monitoring to real-time intelligence and predictive decision-making

Partnering with mLogica, the client selected CAP*M Analytics, mLogica’s next-generation converged analytics platform for real-time decision making, to transform network, subscriber and operational data into actionable intelligence.

Business Challenge

The telecom operator’s challenges were multi-faceted:

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  • Massive Data Volume & Variety: The network generated petabytes of structured and unstructured data, CDRs/XDRs, billing records, device logs, roaming triggers, social-media behavioral signals, and more, which their legacy systems could neither ingest nor process in time.
  • Real-Time Operational Insight: Delayed analytics meant anomalies (e.g., fraud, network congestion, service issues) were detected only hours later, undermining customer experience and increasing operational costs.
  • Revenue Optimization & Customer Churn: With mature market and aggressive competitors, the operator needed better insight into subscriber behavior, micro-segmentation, next-best-offer and upsell opportunities.
  • Network Health & Predictive Maintenance: The infrastructure required monitoring of device usage, traffic patterns, bottlenecks and service degradation, ideally before customer complaints or SLA breaches surfaced.
  • Regulatory Compliance: High-volume loading of SMS, CDR, arbitration and audit logs demanded a solution capable of meeting rigorous compliance and forensic requirements.

mLogica’s Approach

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mLogica deployed CAP*M Analytics across the client’s telecom domain, leveraging its hyperscale ingestion, converged analytics, and real-time processing capabilities. The solution was built to ingest petabyte-scale data, process in near-real time, and deliver actionable dashboards and operational triggers for the client’s teams.

Key Implementation Components

  • High-Speed Data Ingestion: CAP*M Analytics ingested massive volumes of structured, semi-structured and unstructured data, from network probes, billing systems, CRM, device logs and social sources, with compression rates up to 90%.
  • Predictive Analytics & Machine Learning: Using embedded ML algorithms, the solution enabled micro-segmentation, propensity modelling, churn prediction and next-best-offer recommendation engines tailored for telecom use cases.
  • Real-Time Network Health Monitoring: The platform provided anomaly detection (via machine learning) for network congestion, device misuse or fraud, enabling proactive maintenance and self-healing networks.
  • Unified Data & Insight Delivery: CAP*M Analytics integrates subscriber, network, and operational datasets into a single environment, delivering dashboards for marketing, operations, and compliance teams to enable consistent, real-time decision-making. Additionally, it provides a customized dashboard for call center support, consolidating all information needed for efficient complaint resolution—including complaint history and detailed device data such as model, software version, and usage specifics.

    WITH CAP*M ANALYTICS, MLOGICA UNIFIED MASSIVE, FAST-MOVING TELECOM DATA INTO A SINGLE, REAL-TIME INTELLIGENCE ENGINE, TURNING RAW NETWORK ACTIVITY INTO INSTANT, ACTIONABLE INSIGHT AT HYPERSCALE

  • Scalable Architecture: The system was built to scale from 100 TB to over 30 PB on a single machine, enabling the client to grow seamlessly as data volumes expand.

Strategic Outcome

Implementation of CAP*M Analytics produced measurable improvements across operational and business functions:

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  • Operational Efficiency & Cost Optimization: Near-real-time loading and processing significantly reduced lag, enabled rapid response to anomalies and network issues, and lowered operating costs.
  • Network Reliability & Customer Experience: Predictive alerts and network health analytics reduced service degradation events, improved SLA adherence, and enhanced overall customer satisfaction.
  • Regulatory Compliance & Data Transparency: The operator met strict audit and forensic standards by ingesting and analyzing high-volume SMS/CDR/billing data, helping avoid fines and reduce financial risk.
  • Future-Ready Analytics Platform: With a scalable architecture, the client is positioned to support emerging 4G/5G traffic, Internet of Things (IoT) use cases and new OTT partnerships, maximizing long-term strategic value.

Results Summary

Metric Before CAP*M Analytics After CAP*M Analytics
Data processing latency Hours to days Near-real-time (seconds to minutes)
Data volume scalability Limited to legacy capacity 100 TB → 30 PB scale on a single machine
Churn prevention Reactive, generic campaigns Proactive, personalized campaigns via micro-segmentation
Network incident detection Manual / delayed Automated anomaly detection and predictive alerting
Compliance readiness Many manual processes High-velocity ingest, search/discovery, audit ready

The Power Behind the Transformation

By leveraging mLogica’s CAP*M Analytics platform, the telecom operator transformed its data architecture from reactive and fragmented to proactive, unified and insight driven. This shift empowered the business to monetize subscriber behaviors, optimize network performance, and ensure compliance, all while building a foundation for future growth.

Beyond immediate operational improvements, CAP*M Analytics enabled advanced behavioral intelligence and automated decisioning, allowing the organization to predict customer needs, identify high-value segments and tailor services dynamically. Real-time data pipelines and scalable processing infrastructure gave technical teams the power to detect emerging anomalies before they impacted the customer experience, establishing a resilient, self-optimizing network posture.

Critically, modernization created a single source of truth across operational, network and customer data domains, eliminating silos that had historically slowed decision-making and limited innovation. With secure access controls, audit-class data governance and integrated machine learning, the client now benefits from continuous optimization and a sustainable platform for 5G expansion, IoT service delivery, and future AI-driven revenue streams.

mLogica’s analytics expertise and CAP*M’s architectural scale did more than upgrade systems, they elevated the operator into a data-empowered enterprise prepared to compete and grow in a rapidly evolving digital economy, where speed, insight and compliance define competitive advantage.

“The savings we realized by implementing CAP*M Analytics were substantial. The peace of mind from knowing our systems are secure and our reporting capabilities are state of the art is priceless.”

— General Manager, Major Telecommunications Provider

A Telecommunication Provider Reinvented Through Intelligent Analytics

Through disciplined execution, advanced data engineering, and the power of mLogica’s CAP*M Analytics, this telecom operator accelerated its evolution from a legacy-bound service provider into a modern, insights-driven digital enterprise. The organization not only secured real-time visibility, operational resilience, and regulatory assurance, but unlocked new revenue potential through intelligent customer engagement and predictive network optimization.

With a scalable, future-proof analytics foundation in place, the company is now positioned to lead in a competitive, data-intensive market, demonstrating how strategic analytics modernization can redefine performance, elevate customer experience, and set the stage for continued innovation and growth.