Case StudyJanuary 5, 20256 min read

Fortune 500 Financial Services Company Migrates 50TB in 6 Weeks

How a global financial institution used DataMigration.AI to complete a complex multi-system migration 60% faster than traditional methods while maintaining 100% data accuracy and regulatory compliance.

JP
James Patterson
Solutions Architect

Project Results

60% Faster
Than traditional migration
50TB Migrated
Across 12 systems
100% Accuracy
Zero data loss
$4.2M Saved
In migration costs

Executive Summary

A Fortune 500 financial services company with $200B+ in assets needed to migrate 50TB of critical data from legacy Oracle and DB2 systems to a modern cloud data platform. Using DataMigration.AI's AI-powered agents, they completed the migration in just 6 weeks—60% faster than their initial 15-week estimate using traditional methods—while achieving 100% data accuracy and maintaining full regulatory compliance.

The Challenge

The organization faced a complex migration scenario involving:

  • 12 source systems including Oracle 11g, DB2 z/OS, SQL Server, and legacy mainframe databases
  • 50TB of data across 2,400+ tables with complex relationships and dependencies
  • Strict compliance requirements including SOX, PCI-DSS, and GDPR with full audit trails
  • Zero downtime requirement for customer-facing applications during migration
  • Limited migration window due to regulatory reporting deadlines

Traditional migration approaches estimated 15 weeks with a team of 20 consultants, costing $6.8M. The organization needed a faster, more cost-effective solution without compromising on quality or compliance.

The Solution

DataMigration.AI deployed a comprehensive AI-powered migration solution:

Phase 1: Discovery & Profiling (Week 1)

Profile AI automatically analyzed all 12 source systems, identifying schemas, relationships, data quality issues, and dependencies. The AI discovered 340 previously undocumented table relationships and flagged 12,000 data quality issues for remediation.

Phase 2: Mapping & Transformation (Week 2)

Map AI generated intelligent schema mappings and transformation rules, reducing manual mapping effort by 85%. The AI automatically handled complex transformations including EBCDIC to ASCII conversion, date format standardization, and currency normalization across 47 countries.

Phase 3: Migration & Validation (Weeks 3-5)

Damian AI orchestrated the migration in parallel batches, continuously validating data integrity and maintaining real-time synchronization with source systems. Quality AI performed automated validation checks on 100% of migrated records, ensuring zero data loss.

Phase 4: Reconciliation & Cutover (Week 6)

Reconcile AI performed comprehensive validation comparing source and target systems at row, column, and aggregate levels. The final cutover was completed during a planned 4-hour maintenance window with zero customer impact.

Results & Impact

Time Savings

  • • 6 weeks actual vs 15 weeks estimated (60% faster)
  • • 85% reduction in manual mapping effort
  • • 90% reduction in validation time
  • • Zero post-migration issues requiring remediation

Cost Savings

  • • $4.2M saved vs traditional approach
  • • 75% reduction in consultant hours
  • • $800K annual savings from legacy system decommissioning
  • • ROI achieved in 3.2 months

Quality & Compliance

  • • 100% data accuracy verified
  • • Zero data loss or corruption
  • • Full audit trail for regulatory compliance
  • • Passed all SOX and PCI-DSS audits

Business Impact

  • • Zero customer-facing downtime
  • • 40% improvement in query performance
  • • Enabled real-time analytics capabilities
  • • Foundation for AI/ML initiatives

"DataMigration.AI's AI agents transformed what we thought would be a 15-week nightmare into a 6-week success story. The automated profiling discovered relationships we didn't know existed, and the continuous validation gave us confidence we'd never had in previous migrations. We're now using the platform for all our data operations."

SC
Sarah Chen
Chief Data Officer

Key Takeaways

1

AI-powered automation can reduce migration time by 60% while improving quality

2

Automated profiling discovers hidden relationships and dependencies that manual analysis misses

3

Continuous validation and reconciliation eliminate post-migration surprises

4

Zero-downtime migrations are achievable even for complex, mission-critical systems

5

ROI from AI migration tools is typically achieved within 3-6 months

Ready to accelerate your data migration?

Schedule a consultation to see how DataMigration.AI can help you achieve similar results