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Telecom verified Verified Outcome TRL 9

Legacy Network Data Liberation

domain Client: A British multinational telecommunications holding company handshake Provider: Google Cloud schedule Deploy: Q2 2022 (Transformation)
87 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

To monetize its massive network data assets, the telco adopted a Data Fabric approach. They decoupled data from legacy mainframes and network switches, creating a virtualized access layer. This allowed internal teams (and potential external partners) to access network performance data as a product for AI-driven maintenance and customer service.

rate_review Analyst Verdict

"Unlocking the 'Telco Goldmine'. Telcos sit on valuable data but can't use it due to legacy debt. A Fabric approach allows them to modernize data access without ripping and replacing the underlying network hardware immediately."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Data was locked in thousands of legacy systems (Mainframes, on-prem databases). Accessing it for AI projects took months of integration work. The company wanted to use AI to predict network faults but couldn't get the training data.

psychology The Solution

Partnered with Google Cloud to build a data fabric. They created 'reusable data products' (e.g., 'Broadband Line Health') that abstract the complexity of the underlying copper/fiber network systems. These products are available via APIs.

settings_suggest Technical & Deployment Specs

Integrations
Network OSS, GCP
Deployment Model
Hybrid Cloud
Data Classification
Network Telemetry
Estimated TCO / ROI
High
POC Summary (2021-01-01 to 2022-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Legacy Connectivity High Custom connectors for mainframe systems.
Data Volume Medium Sampling strategies for high-volume telemetry.

trending_up Impact Trajectory

Audited value realization curve

Migration of data workloads to cloud Verified Outcome
Primary KPICreation of AI-ready data products
Audit CycleReduction in customer complaints via proactive fixes

policy Compliance & Gov

  • Standards: Ofcom Regs, GDPR
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Network Telemetry

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A British multinational telecommunications holding company without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-908
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-908

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