Unifying Data Infrastructure with a Telecom-Scale Big Data Lake

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Overview

One of the largest telecom service providers in Asia faced unprecedented data volume challenges driven by 5G expansion, IoT adoption, and customer growth. To meet the demand for real-time insights and support enterprise-wide analytics, the organization sought to consolidate data from siloed sources into a single, future-ready Big Data Lake.

Challenges

Fragmented platforms post-merger impacting data unification
Over 400 billion CDRs/month from 300+ million customers
50+ internal systems delivering disjointed data
High operational overhead and slow reporting (D-2 timelines)

Solution

 A modern Hadoop-based Big Data Lake was deployed, enabling scalable ingestion, processing, and advanced analytics. With a unified platform supporting real-time data streams and batch workloads, the solution powered AI-driven models, campaign analytics, and business dashboards — all within a secure open-source architecture.

Business Outcomes

40% cost savings in analytics IT infrastructure
60% reduction in operational complexity
1000+ KPIs delivered daily to business teams
Reporting timelines improved from D-2 to D-1
Legacy systems streamlined — 35+ systems decommissioned

Testimonial

Project Details

One of the largest telecom providers
Telecommunications
Enterprise Big Data Lake Platform
Telecom Data Lake, Big Data Architecture, Unified Data Platform

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sales@whiteklay.com
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