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" headline " : " Zero-Downtime Migration of 50 Million Customer Records for a UK Bank " ,
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< li >< a href = " /case-studies/ " > Case Studies </ a ></ li >
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< span class = " industry-tag " > Financial Services </ span >
< span class = " service-tag " > Data Migration & amp ; Processing </ span >
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< h1 > Zero - Downtime Migration of 50 Million Customer Records </ h1 >
< p class = " hero-subtitle " > A major UK bank migrates a quarter - century of customer data from legacy systems to a modern cloud platform — on time , under budget , with zero service interruption .</ p >
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< h2 > Results at a Glance </ h2 >
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< span class = " result-number " > 0 </ span >
< span class = " result-label " > Minutes of Downtime </ span >
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< span class = " result-number " > 99.99 %</ span >
< span class = " result-label " > Data Accuracy </ span >
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< div class = " result-item " >
< span class = " result-number " > 6 Weeks </ span >
< span class = " result-label " > Ahead of Schedule </ span >
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< span class = " result-number " > £2M </ span >
< span class = " result-label " > Cost Savings vs . Estimate </ span >
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< h2 > The Client </ h2 >
< p > A major UK financial services provider with over 25 years of customer data held across multiple legacy mainframe and relational database systems . The organisation serves hundreds of thousands of retail and business customers across the UK . Client identity withheld under NDA .</ p >
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< h2 > The Challenge </ h2 >
< p > The client ' s legacy data infrastructure had accumulated significant technical debt over two and a half decades . Their systems comprised multiple database technologies , inconsistent schemas , and data quality issues that had never been systematically resolved . The board had approved a cloud migration programme , but the data layer presented the highest risk .</ p >
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< li > 50 million customer records spread across seven legacy systems with different schemas </ li >
< li > Zero tolerance for data loss or service interruption under FCA operational resilience requirements </ li >
< li > Strict PCI DSS and UK GDPR compliance requirements governing how data could be handled during migration </ li >
< li > Complex relational dependencies between customer , account , transaction , and compliance records </ li >
< li > Significant data quality issues : duplicate records , inconsistent date formats , and legacy character encoding </ li >
< li > A fixed regulatory deadline that could not be moved </ li >
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< h2 > Our Solution </ h2 >
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< p > UK AI Automation designed a phased , parallel - run migration strategy that allowed the new cloud platform to operate alongside legacy systems during the transition , with automated reconciliation to ensure data integrity at every stage .</ p >
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< ul >
< li >< strong > Data audit and profiling :</ strong > Comprehensive analysis of all seven source systems to map relationships , identify anomalies , and quantify data quality issues before a single record was moved </ li >
< li >< strong > Cleanse and standardise pipeline :</ strong > Automated transformation layer to resolve duplicates , standardise formats , and apply consistent business rules before loading into the target system </ li >
< li >< strong > Parallel run architecture :</ strong > Both legacy and new systems operated in parallel for 8 weeks , with automated reconciliation jobs running every 30 minutes to detect any discrepancy </ li >
< li >< strong > Incremental cutover :</ strong > Customer segments migrated in tranches by risk level , with rollback capability maintained throughout </ li >
< li >< strong > Audit trail and compliance documentation :</ strong > Full lineage tracking for every record , supporting FCA reporting requirements and GDPR Article 30 records of processing </ li >
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< h2 > Implementation Timeline </ h2 >
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< li >< strong > Months 1 – :</ strong > Data audit , schema mapping , and cleansing rules definition </ li >
< li >< strong > Months 3 – :</ strong > Pipeline development , test environment validation , and reconciliation framework build </ li >
< li >< strong > Month 5 :</ strong > Parallel run initiation and first customer segment cutover </ li >
< li >< strong > Months 6 – :</ strong > Phased cutover of remaining segments with continuous reconciliation </ li >
< li >< strong > Month 8 :</ strong > Legacy system decommission , final audit sign - off </ li >
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< p > The project completed six weeks ahead of the original schedule , which the client attributed primarily to the quality of data profiling completed in months one and two reducing the volume of issues discovered mid - migration .</ p >
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< h2 > Results </ h2 >
< p > The migration was completed with zero customer - facing disruption . The automated reconciliation framework caught and resolved 847 data discrepancies before they reached the production system — none required manual intervention from the client ' s team .</ p >
< ul >
< li > 50 million records migrated with 99.99 % verified accuracy </ li >
< li > Zero minutes of unplanned service downtime throughout the 8 - week parallel run </ li >
< li > Project completed 6 weeks ahead of schedule </ li >
< li > £2M under the original budget estimate , primarily through efficient automation of cleansing tasks originally scoped for manual review </ li >
< li > Full FCA operational resilience and GDPR Article 30 documentation delivered as part of the project </ li >
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< p > " The migration was flawless. Our customers didn't experience any disruption, and we now have a modern, scalable platform that supports our growth plans. The quality of the data audit work at the start of the project was the key — it meant we weren't firefighting problems halfway through. " </ p >
< cite >
< strong > Michael Davies </ strong >< br >
< span > CTO , UK Financial Services Provider ( client name withheld ) </ span >
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< h3 > Project Details </ h3 >
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< dt > Industry </ dt >< dd > Financial Services </ dd >
< dt > Service </ dt >< dd >< a href = " /services/data-processing-services " > Data Processing </ a ></ dd >
< dt > Records Migrated </ dt >< dd > 50 million </ dd >
< dt > Source Systems </ dt >< dd > 7 legacy databases </ dd >
< dt > Duration </ dt >< dd > 8 months </ dd >
< dt > Compliance </ dt >< dd > FCA , PCI DSS , UK GDPR </ dd >
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< h3 > Related Services </ h3 >
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< li >< a href = " /services/data-processing-services " > Data Processing </ a ></ li >
< li >< a href = " /services/data-cleaning " > Data Cleaning </ a ></ li >
< li >< a href = " /services/financial-data-services " > Financial Data Services </ a ></ li >
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< h3 > Facing a Complex Migration ? </ h3 >
< p > Discuss your data migration requirements with our team .</ p >
< a href = " /quote " class = " btn btn-primary " > Get a Free Quote </ a >
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< h2 > Complex Data Challenges , Delivered Reliably </ h2 >
< p > From large - scale migrations to ongoing data processing pipelines , we deliver with precision and full compliance documentation .</ p >
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< a href = " /quote " class = " btn btn-primary " > Discuss Your Project </ a >
< a href = " /case-studies/ " class = " btn btn-secondary " > View All Case Studies </ a >
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