GDPR-Compliant Data Remediation for Legacy
Banking Systems

Overview of the Client

A leading UK bank offering a comprehensive suite of personal and business banking products, including current and savings accounts, mortgages, credit cards, insurance, and pensions. Known for its customer-centric approach, the bank differentiates itself from traditional financial institutions by emphasising digital banking capabilities and strong customer service.

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The Challenge:

One of the primary challenges faced by our client centres on data remediation at scale. Over the years, the bank has accumulated more than 7 years of legacy data across multiple systems, including loan processing, mortgage servicing, and customer onboarding platforms. Much of this data contains Personally Identifiable Information (PII), which under GDPR and internal compliance policies, must be retained only for a defined period.

  • The client holds 7+ years of legacy data across multiple databases (Loans, Mortgage, etc)
  • As per GDPR and internal compliance mandates, PII must be retained only for 7 years, beyond which it becomes a legal liability. Failure to remediate this data risks non-compliance penalties, reputational damage, and audit failures.
  • Legacy data increases cloud storage costs, complicates audits, and slow down the modernization.
  • Manual deletion is resource-intensive, error-prone, and non-scalable.
  • Inconsistent data retention practices across departments slow down innovation and introduce integration challenges.
  • The presence of outdated or redundant data complicates audit readiness, making it difficult  to isolate relevant records during regulatory reviews.
Infotel Transforms Automotive Service Booking with Scalable AWS-Powered API Solution

The Challenge:

One of the primary challenges faced by our client centres on data remediation at scale. Over the years, the bank has accumulated more than 7 years of legacy data across multiple systems, including loan processing, mortgage servicing, and customer onboarding platforms. Much of this data contains Personally Identifiable Information (PII), which under GDPR and internal compliance policies, must be retained only for a defined period.

  • The client holds 7+ years of legacy data across multiple databases (Loans, Mortgage, etc)
  • As per GDPR and internal compliance mandates, PII must be retained only for 7 years, beyond which it becomes a legal liability. Failure to remediate this data risks non-compliance penalties, reputational damage, and audit failures.
  • Legacy data increases cloud storage costs, complicates audits, and slow down the modernization.
  • Manual deletion is resource-intensive, error-prone, and non-scalable.
  • Inconsistent data retention practices across departments slow down innovation and introduce integration challenges.
  • The presence of outdated or redundant data complicates audit readiness, making it difficult  to isolate relevant records during regulatory reviews.

Our Solution:

  • Delivered a structured data remediation strategy, reducing risks and cutting long-term costs.
  • Delivered capabilities like bulk data deletion with our smart data remediation tool Deepeo, whitelisting, and possible data anonymisation to assist the bank to target nested data while safeguarding the integrity of the remaining information.
  • Seamless collaboration in a complex, multi-year project across the organisation.
  • Successfully remediated 50+ databases handled billions of records while ensuring GDPR compliance and significantly reducing regulatory risk. Saved from manual efforts and cut down hundreds of hours of work.
  • By replacing manual deletion efforts with automated, policy-driven workflows, the solution eliminated hundreds of hours of labour-intensive tasks, enhanced data governance, and ensured audit-ready traceability across systems.
Our Solution

420

million data records cleansed

30%

cost savings on compliance management

70

Thousand pounds saved annually in data storage costs

100%

GDPR regulation achieved with our support

Technology Used

 

 

Oracle

  SQL

 

 

ServiceNow

 

 

 

 
       

 

 

  SQL

 

 

 

Oracle

 

 

 

 

 
       

 

 

 

 

ServiceNow

 

 

 

 

 

 

 
       

 

 

Oracle

Oracle

SQL

SQL

ServiceNow

ServiceNow

SQL

SQL

Oracle

Oracle

ServiceNow

ServiceNow

Value Proposition for the Client

  • Automated remediation of 50+ databases, where 420 million data records were cleansed with precision and efficiency.
  • GDPR-aligned data governance, including bulk deletion, whitelisting, and anonymisation of sensitive data.
  • Significant reduction in regulatory risk and improved audit readiness across multiple business units.
  • Digital Transformation – Helped the client move closer to full digital transformation in their dealer management processes.
  • Hundreds of hours saved by replacing manual deletion with automated, policy-driven workflows.
  • Cost optimization through reduced cloud storage and streamlined data lifecycle management.
  • Seamless collaboration across internal teams and external suppliers, supported by dedicated integration resources.
  • Structured delivery plans and post-go-live support to ensure smooth transition to Business-as-Usual (BAU)
"When it comes to GDPR, it goes without saying that companies need to employ and adopt the best systems and procedures to manage their customer data. With the introduction of deepeo, we were able to take control of the masses of data attached to our business and make sense of what was needed and what wasn’t – with no need to be technically minded!"
— Development Consultant

Team

  • Teams
  • Project Manager
  • Test & QA Lead
  • Developers/Analysts

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