

1. Data migration is where projects quietly fail: broken integrations, missing fields, inconsistent records, and reporting that no longer reconciles. The cost shows up after go-live.
2. Sigli reduces migration risk with structured planning, validation, and clear ownership — so the new system works as expected from day one.
3. We don’t just “lift and shift”. We clean, standardise, and enrich data so it’s usable for analytics, automation, and better customer experiences — with governance and compliance built in.
Define scope, sources, target model, and mapping rules — including edge cases.
Move data reliably into the target platform with repeatable processes.
Remove duplicates, fix inconsistencies, and standardise formats across sources.
Enhance records with additional attributes, classifications, or context to increase value and usability.
Quality checks, sampling, and reconciliation so stakeholders can trust the migrated dataset.
Access controls, auditability, and GDPR-aligned practices for sensitive data.

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We use structured mapping, validation, and reconciliation with clear sign-off — so migrated data matches expectations before cutover.
It means improving records so they’re more usable — cleaning and standardising, adding missing attributes, and making data consistent across sources.
Yes. We typically migrate in controlled batches and plan cutover carefully to reduce disruption and risk.
We build governance in from the start: access controls, auditability, and GDPR-aligned handling practices — reducing compliance risk.