​Data Migration & System Integration

Data Migration represents one of the highest-risk, highest-impact initiatives organizations undertake, transferring critical business information between systems, platforms, or storage architectures while maintaining integrity, accessibility, and operational continuity. Failed migrations destroy data accuracy, disrupt operations, and erode stakeholder confidence. Successful execution enables technological advancement without sacrificing institutional knowledge.

The complexity extends beyond technical data transfer. Legacy systems contain years of accumulated information with inconsistent formats, duplicate records, orphaned relationships, and undocumented dependencies. Migration requires comprehensive analysis: data profiling, quality assessment, mapping schemas, validating business rules, and establishing transformation logic that preserves meaning while adapting to target system structures.

Strategic methodology follows rigorous phases of discovery, cleansing, mapping, testing, execution, and validation. Data profiling identifies anomalies, inconsistencies, and quality issues requiring remediation before migration. Cleansing eliminates duplicates, standardizes formats, and resolves conflicts. Mapping translates source structures to destination schemas while maintaining referential integrity and business logic.