Many organisations find themselves trapped by their legacy CRM systems, with years of critical operational data locked away in proprietary formats and vendor-specific databases. These systems create invisible shackles that make it financially and technically challenging to migrate to modern platforms, often forcing businesses to continue paying premium licensing fees for outdated technology simply because their data seems irretrievably bound to these legacy systems.
I have worked with clients to migrate from legacy systems, working with complex and unstructured data stores to extract business data and transform it into clean, structured SQL Server databases. My approach involves developing custom extractors tailored to each unique system, that might be using documented APIs or creating bespoke data parsing and transformation solutions.
A client trapped with costly Sage Line 500 licensing needed their financial data extracted and transformed in order to move to an alternative accounting platform. Another project required extracting decades of customer data from an obfuscated Remedy CRM system, where I reverse-engineered proprietary structures to enable migration to SQL Server-backed solutions.
My migration process employs comprehensive Extract, Transform, Load (ETL) validation with integration testing, checksum verification, and incremental migration strategies. Data completeness is verified through automated testing pipelines that compare source and target record counts, validate business rule compliance, and maintain detailed audit trails.