
The AWS architecture that cut latency from overnight to under 5 minutes
99.8% data accuracy was achieved across all migrated records
The ETL strategy behind <0.1% financial variance at go-live
50–70% of manual processing effort was eliminated

Most local authorities dealing with housing transformation face the same converging pressures. If any of these look familiar, this case study was built for you.
On-premise, MS SQL-based systems with limited scalability and growing maintenance overhead
Point-to-point interfaces and overnight batch jobs with no flexibility for modern services
Unstructured address data, duplicates, and no unified validation framework across domains
Staff time lost to manual reconciliation, finance processing, and data handling across teams
End-to-end transformation Without Disrupting Live Services
Opal Solutions took ownership of the full programme: from G-Cloud procurement and vendor selection through to data migration, AWS integration architecture, phased domain rollout, and go-live. Six housing domains. Eleven third-party integrations. One seamless cutover.

Selected through fully compliant G-Cloud procurement, replacing legacy on-premise infrastructure

Replaced overnight batch processing with near real-time data flows (<5 min latency) across 11 systems

Achieved through 5+ iterative ETL cycles with micro-to-macro validation at every level

Ordnance Survey APIs + LLPG alignment for 80–85% UPRN address matching accuracy

Phased rollout aligned to business cycles, including service charge invoicing windows
A structured delivery approach enabled measurable improvements across data quality, integration performance, and operational efficiency.
< 99.8%
Data accuracy across all migrated records
< 5 min
Integration latency, down from overnight batches
50-70%
Reduction in
manual processing effort
< 0.1%
Financial variance across
reconciled datasets
99.9%
Integration service
availability in steady state
Zero
Disruption to service charge
cycles or billing

© Copyright 2026. Opal Solutions Private Limited.