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Case Study

How AI-Driven Data Transformation Helped Leading GCC Telecom Operator Achieve Real-Time Customer Intelligence

A leading GCC telecom operator serving over 2 million subscribers faced a critical challenge: valuable customer data trapped across disconnected systems, from Oracle data warehouse to CRM, from network infrastructure to social media touch-points, preventing real-time insights and proactive decision-making.

B2Metric delivered a comprehensive digital transformation establishing a robust data foundation and deploying advanced AI/ML models to enable real-time customer intelligence.

The solution created a single customer view, a unified source of truth that feeds all critical business systems with reliable, enriched data in real-time, transforming how the operator understands and serves its customers across all touch-points.

A customer smiling at her mobile app

Challenges

  • Fragmented Data
  • Data Inconsistencies
  • Manual Processes
  • Lack of Personalization

The operator struggled with disconnected data systems and missed opportunities for growth, requiring urgent modernization and AI/ML capabilities to remain competitive in the GCC's dynamic telecom market.

  • Fragmented Systems: Disconnected Oracle DWH, SAS analytics, and Tableau BI creating data silos and preventing unified customer view
  • Lost Big Data Value: Unable to process network location data, digital behavioral data, and other intelligence sources
  • Complex Data Sources: Managing CRM, Financial Systems, Call Center, Digital Platforms, Telco Infrastructure, Campaign Management Platform, and digital behavioral data from website, mobile app, and social media
  • Operational Inefficiencies: Data inconsistencies, heavy manual processes, delayed insights, high operational costs, and complete dependency on BI team for any reporting needs
  • Lack of Personalized Engagement: No capability for real-time personalization or targeted customer experiences without AI/ML models
  • Revenue Leakage: Missing churn signals and cross-sell opportunities without predictive capabilities

Signals We Uncovered

4G network usage
70%
5G network usage
30%
Peak day
Friday
Peak hours
20:00–22:00
Avg. session
45 minutes

Content Preferences

  • Technology
  • Business
  • Sports
  • News
  • Family

Lifestyle & Interests

  • Heavy App User
  • Video Streaming
  • Gaming Enthusiast
  • Professional Tools

Solution

B2Metric implemented a comprehensive two-phase transformation strategy, building a solid data foundation first, then layering advanced AI/ML capabilities to create a unified single customer view that drives business value.

Phase 1

Data Foundation

Establishing reliable, accessible, and AI/ML-ready data infrastructure across all systems to enable single source of truth.

  • Data quality standardization and enablement across all sources
  • Infrastructure optimization and ETL automation on-premise
  • 9 specialized data marts with cross-mart integration
  • KPI definitions, data dictionary, and anomaly detection
  • AI/ML-ready infrastructure foundation
  • Single customer view architecture design and implementation

Phase 2

Data Science & AI/ML

Deploying advanced AI/ML models powered by the single customer view to enable predictive decision-making and intelligent customer engagement, all built with adaptive learning capabilities for continuous improvement.

  • Unsupervised customer segmentation
  • AI/ML churn prediction models (voluntary, involuntary, migration, premature)
  • Next Best Action/Offer recommendation engine
  • Social network analysis and sentiment monitoring
  • Real-time dashboards and automated recommendations

Our expertise spans big data architecture, predictive analytics, and AI model development, with flexible delivery for on-premise, cloud, or hybrid environments. We focus on practical, results-driven implementations that deliver sustainable business value.

Why B2Metric?

The client selected B2Metric based on proven experience in big data architecture and AI/ML model development, combined with the flexibility to implement solutions entirely on-premise.

B2Metric's solution consulting approach stood out, providing creative, tailored solutions across the entire spectrum–from data foundation to building personalized engagement strategies and measuring campaign effects in real-time for various customer groups and scenarios.

This end-to-end expertise, coupled with deep telecom industry knowledge and commitment to knowledge transfer, ensured sustainable value beyond project completion.

Implementation Approach

B2Metric employed an agile, phased approach ensuring continuous value delivery while maintaining zero business disruption throughout the AI/ML transformation.

  1. Discovery

    System audit, source mapping, gap analysis.

  2. Foundation

    Data model optimization, pipeline automation, mart construction.

  3. AI/ML Platform

    ML infrastructure setup, model development, testing framework.

  4. Operationalization

    Production deployment, monitoring, team training.

  5. Anomaly Detection & Alerts

    Real-time monitoring for data quality issues, pipeline disruptions, and system performance fluctuations with alert notifications.

Results & Business Value Creation

The AI/ML transformation delivered measurable improvements across all key performance indicators, fundamentally changing how the operator understands and serves their customer base.

  • Single View of Customer

    Unified 360° customer profile across all touch-points, feeding Campaign Management, Call Center, Digital Platforms, Billing, and Service Delivery systems in real-time.

  • New Understanding of Customer

    Advanced AI-powered segmentation revealing hidden behavioral patterns and deep insights into preferences, usage trends, and lifecycle stages.

  • Predictive Intelligence

    ML-based churn prediction enabling proactive retention and next-best-action recommendations for personalized engagement at scale.

  • Operational Excellence

    Real-time AI monitoring with automated anomaly detection and self-service analytics empowering business users.

  • Revenue Growth

    AI-optimized campaigns with targeted offers and intelligent retention strategies increasing customer lifetime value.

  • Predictive Intelligence
  • Customer Journey Mapping
  • Operational Efficiency
  • Revenue Growth
  • Churn Prevention
  • Product Recommendations

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