Legacy-to-Cloud Data Migration & Transformation
How Brain Station 23 successfully migrated 1TB of fragmented legacy insurance data into a modernized Azure SQL environment, transforming over 300 complex tables into an optimized architecture while ensuring 100% business logic preservation.
Platforms
Cloud Data Platform, Web
Technology Used
Azure SQL, Azure Data Factory (ADF), SQL Server Integration Services (SSIS), Informatica PowerCenter, IBM DB2
Industry
Insurance, Financial Services
Tags
Data Migration, Legacy Modernization, ETL, Azure Cloud, Data Warehousing
Overview
A global leader in insurance and financial services, managing massive datasets across legacy IBM DB2 systems, required a unified platform to eliminate data silos, enhance security, and accelerate market analysis for millions of customers worldwide. Brain Station 23 partnered with the enterprise to utilize a structured ETL strategy, mapping, cleaning, and consolidating over 1TB of legacy data into a modernized, high-performance Azure SQL environment.
Business Challenges
- Scattered Data: Fragmented information across multiple legacy systems prevented a unified 360-degree portfolio view of customers.
- Prolonged Retrieval: Accessing data from manual sources was exceptionally time-consuming, delaying critical business decision-making.
- Poor Data Quality: Messy legacy data and a lack of unique identification hampered accurate customer tracking and analytics.
- Slow Market Response: Inefficient data accessibility hindered the organization’s ability to perform rapid, competitive market analysis.
- Complex Data Incompatibility: Transferring massive volumes of data required overcoming diverse database structures, character encodings, and geo-latency disparities that significantly slowed data transfer.
Solution Provided
- Unified Repository: Consolidated all scattered legacy data into a single, modernized SQL system to establish full portfolio transparency.
- Schema Optimization: Successfully mapped and transformed 300+ legacy tables into 60+ optimized tables using advanced SSIS, preserving complex legacy business logic despite documentation gaps.
- Performance Engineering: Leveraged Informatica PowerCenter to overcome geo-latency between source and target servers, maximizing data transfer throughput during high-risk migration windows.
- Data Governance & Security: Implemented rigorous cleaning and validation processes to remove duplicates, alongside advanced security protocols to safeguard sensitive information and meet industry standards.
- Scalable Infrastructure: Built a modernized Azure SQL platform featuring automated snapshot backups and cost-effective cloud scaling.
Impact
- 360-Degree View: Leadership gained complete visibility of customer portfolios, empowering faster and more effective data-driven decisions.
- Accelerated Market Speed: Drastically reduced time-to-market for new services by enabling rapid, reliable market analysis.
- Significant Time & Cost Savings: Eliminated manual data checks—saving hundreds of operational hours—and achieved cost efficiency through scalable cloud options.
- 100% Data Integrity: Preserved all business logic during complex schema transformations, resulting in a massive performance boost for data reading and application display times.
- Seamless Integration: Enabled effortless connectivity with modern applications and third-party tools, backed by streamlined disaster recovery capabilities.
Modernize Your Legacy Infrastructure
Transitioning from fragmented, manual systems to unified, high-performance cloud platforms eliminates data silos and performance bottlenecks. Connect with Brain Station 23 to learn how our legacy-to-cloud migration expertise can unlock scalable growth and real-time insights for your enterprise.
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