1. Discovery and mapping
We identify where business logic lives: stored procedures, triggers, inline SQL, and data access modules. This includes mapping dependencies and understanding real‑world usage patterns.
2. Behavioural analysis
We analyse how queries behave under load, how they interact with each other, and where bottlenecks or risks exist.
3. Refactoring and optimisation
We refactor SQL, consolidate logic, remove duplication, and modernise data access patterns. Where appropriate, we introduce indexing, partitioning, or architectural improvements.
4. Documentation and handover
All changes are documented clearly, including data flows, dependencies, and business rules. This supports both ongoing maintenance and future rewrites.