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Modernization of Road User Charging System with Scalable Data Migration Solution

supercharge.io

Government

Utilities

Telecommunications

Legacy Infrastructure and Data Consolidation Challenges

Transport for London needed to modernize its Road User Charging system by consolidating and migrating petabytes of structured/unstructured data from legacy systems to Azure Cloud while maintaining data integrity, minimizing downtime, and ensuring compliance with operational continuity requirements.

About the Client

Public transport and road infrastructure authority managing congestion charging and mobility initiatives

Modernization and Migration Goals

Implement cloud-native data migration strategy for legacy infrastructure transition
Ensure seamless transfer of 1 petabyte of unstructured data and 5+ billion records
Maintain system performance during parallel-run support
Establish scalable architecture for future system changes

Core System Requirements

Automated data profiling and cleansing workflows
Multi-system data mapping and transformation engine
Real-time pipeline monitoring dashboard
Error handling and reconciliation reporting framework

Technology Stack Requirements

Databricks

Microsoft Fabric

Azure Data Lake

Python

SQL

System Integration Needs

Legacy source systems (7 total)
Azure Cloud infrastructure
Data governance tools

Operational Requirements

High-volume data processing scalability
99.9% data integrity validation
Compliance with data governance standards
Real-time performance monitoring

Operational Efficiency and Scalability Impact

The solution will enable streamlined operations through optimized infrastructure sizing, reduce migration risks via structured four-step methodology, and provide a future-ready foundation for processing 9+ billion documents annually while maintaining secure, compliant data management in Azure Cloud.