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Discovery Phase

The goal was to develop a comprehensive end-to-end data analytics solution tailored for the telecom industry. The solution is designed to seamlessly integrate data from a wide range of telecom sources,

including CRM systems, Contract and Subscribers, Service Request, MNP, and Product Data.

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Business Requirement

To empower telecom operators to leverage their data effectively, driving informed decisions, reducing churn, optimizing network performance, and enhancing customer experience.

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Functional Requirements

Advanced analytics features powered by AI and machine learning, such as: Churn Prediction & Prevention

  • Subscriber Lifetime Value (SLV) Analysis

  • Personalized Offer & Bundle Recommendation Engines

  • Anomaly Detection (fraud, unusual usage, revenue leakage)

  • Network Performance & Quality of Service (QoS) Analytics

  • Sentiment Analysis from customer interactions

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Technical Requirements

Ingestion of data from various sources, including:

  • Customer Relationship Management (CRM) Systems

  • Billing & Revenue Management Systems

  • Recharge & Payment Systems

  • Subscription & Product Catalog

  • Order & Service Request Management

  • Call Detail Records (CDRs) – voice, SMS, data, roaming

  • Network Event & Usage Records

  • OSS Systems (network element data, alarms, faults)

  • Mobile Applications & Self-Care Portals

  • Campaign & Loyalty Management Systems

  • Social Media & Survey Feedback

  • Partner & Distributor Systems

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