Mobile network analytics on Azure data lake for a European telecom regulator

Problem Statement

  • Ingest large volume (multi-TB/week) of mobile and broadband usage data from a third-party service provider.
  • Perform market research on full datasets (instead of samples).

Solution Overview

  • Foundational Data Lake setup using PaaS services on MS Azure
  • Data science modelling was deployed using python to predict the call drops on Azure data lake.
  • Ingestion of multi-TB data / week from 3rd party source (P3)
  • 3 billion data points from 150,000 mobile devices analysed.
  • Rapid on-boarding of template driven approach, Data Standardization, Cleansing, Validation & Auto-profiling framework using our Accelerator.
  • Governance UI for Metadata Search, Lineage analysis, manage objects, analyze profiling statistics and perform operational reporting.

Outcomes

  • Data analyzed from the research helped client in policy making
  • Mobile and broadband service assessment across multiple dimensions – service providers, technology, geo, data/voice
  • Call drop prediction capabilities provided via MLXpress
Mobile network analytics
Mobile network analytics on Azure data lake
case studies

See More Case Studies

Contact us

Partner with Us for Comprehensive IT Resources

We’re happy to answer any questions you may have and help you determine which of our services best fit your needs.

Your benefits:
What happens next?
1

We Schedule a call at your convenience 

2

We do a discovery and consulting meting 

3

We prepare a proposal 

Schedule a Free Consultation