System Integration and Migration Validation
Data mapping, transformation, reconciliation, and validation for moving information between platforms without treating a successful upload as proof the migration was correct.
- Source profiling
- Field mapping
- Transformation
- Control totals
- Rejected records
- Final validation
The operational problem
Moving operational and financial data between platforms: accounting systems, property platforms, payment processors, Microsoft 365, and internal tools, where the cost of a silently wrong migration exceeds the cost of the migration itself.
Why the existing process failed
The default approach exports, massages, uploads, and declares victory when the importer stops complaining. Record counts pass while balances drift, categories collapse, and history quietly loses meaning.
What was built
Migration and integration tooling built around validation: source profiling before mapping, explicit field mappings and transformation rules, control totals at each stage, rejected-record handling with reasons, repeatable reruns, and post-migration reconciliation against the source system.
What the system automates, calculates, and controls
Extraction, transformation, load, and the evidence that the result matches the source: counts, totals, and balance ties by entity and period.
Where human judgment remains
Mapping decisions and the disposition of rejected records: the system refuses to guess what a person has not decided.
How correctness was tested
Every migration carries its own proof: control-total reports and reconciliations that either tie or name exactly what does not.
What changed
Cutovers became decisions made on evidence, and integrations stopped depending on the hope that two systems agree.
Disclosure
Client work across several environments; names withheld.
Related service: Data systems and integration
Methods and research context
- Anomaly detection Considered during system design