MIGRATION
Move legacy spatial data without losing a single record.
We audit, map, and migrate your spatial datasets across platforms with full quality assurance, topology validation, and zero-downtime strategies for live production systems.
Overview
Every dataset, every attribute, every edge case.
Legacy spatial data carries decades of accumulated schema decisions, coordinate system choices, and topological quirks. Our migration engineers understand these at depth — we do not just convert files, we validate every geometry, every attribute, and every relationship before and after cutover.
- Full inventory audit of source datasets, formats, and coordinate systems
- Schema mapping and attribute transformation documentation
- Geometry validation and topology repair
- Coordinate system reprojection with sub-metre accuracy checks
- Zero-downtime cutover strategy for live production systems
- Post-migration verification and sign-off report
Data migration workflow diagram
Our Process
How we deliver it.
01
Audit
We inventory every source dataset — format, coordinate system, geometry type, attribute schema, and record count — and document all known data quality issues.
02
Schema Mapping
We design the target schema and write transformation rules that preserve the full semantic meaning of your source data.
03
Test Migration
We execute a trial migration on a representative sample and validate geometry, attributes, topology, and coordinate accuracy.
04
Quality Assurance
Automated QA scripts compare source and target record-for-record, flagging any discrepancies for human review before production cutover.
05
Live Cutover
We execute the production migration using a zero-downtime strategy — whether incremental sync, parallel-run, or scheduled maintenance window — and issue a sign-off report.
QA validation dashboard
Zero data loss, guaranteed.
Our QA framework validates every record at both geometry and attribute level before we sign off on any migration. We provide a complete migration report — source record count, target record count, geometry validity pass rate, and attribute accuracy rate — so you have full auditability of what was moved and how.
- Automated record-for-record comparison (source vs. target)
- Geometry validity check on 100% of migrated features
- Attribute accuracy sampling with statistical confidence reporting
- Migration report delivered in PDF and machine-readable format
Get started
Ready to talk data migration?
Tell us about your organisation and requirements. We will respond within one business day.