Moving data without losing it
Xylexthord works directly with organisations in Odesa on structured data transfers, system integrations, and pipeline design — where the margin for error is narrow and the timeline is real.
How we approach this work
What actually shifts
in your data infrastructure
Organisations typically come to us mid-crisis — a legacy system going end-of-life, a merger that left two databases running in parallel, or an API integration that silently drops records. After a migration engagement, the situation is different in specific, measurable ways.
Schema conflicts resolved before go-live
Field mapping inconsistencies, type mismatches, and orphaned foreign keys are caught during the audit phase — not discovered in production. Each conflict is documented and resolved with a clear rationale.
Integration points that hold under load
APIs and data connectors are stress-tested against realistic volumes before handover. When the source system sends a burst of records at 03:00, the pipeline does not stall.
Audit trail your team can actually read
Every transformation step is logged in a format your internal team can follow — not a black-box output. If something needs revisiting six months later, the documentation is there.
What a migration engagement requires from both sides
Data migration is not a service you hand off and wait for results. The engagements that go well are the ones where the client organisation contributes access, knowledge, and decision-making capacity throughout the process.
Source system access and documentation
We need credentials, schema exports, and ideally someone on your team who knows where the undocumented fields came from. Without this, the audit phase takes significantly longer and the risk of silent data loss increases.
A defined scope before work begins
Scope creep on migration projects is expensive — not because of billing, but because it introduces untested data paths into a live transfer. We spend the first phase establishing exact boundaries and will flag anything outside them before touching it.
Availability during validation windows
After each migration run, your team needs to verify business-critical records against the source. We provide the tooling and a structured checklist — you provide the domain knowledge to confirm correctness.
Engagements typically run four to twelve weeks depending on data volume and system complexity. Timelines are estimated honestly at the scoping stage — not compressed to win the project.
"The scoping call alone clarified issues we had been arguing about internally for months. They asked questions our previous vendor never thought to raise."
"We had a hard deadline tied to a contract. They delivered within it, and the audit log they left behind was cleaner than anything our internal team produces."
Where this work fits
in your organisation's timeline
The range of situations that bring organisations to a migration specialist is wider than most expect. Below are three distinct types — each with different technical profiles, different risks, and different definitions of a successful outcome.
Moving off a system that no longer receives updates
Software vendors end support. Hardware becomes unreliable. Internal tools built on frameworks from 2009 accumulate technical debt that no one wants to touch. When the decision to exit is made, the migration becomes the critical path.
Two organisations, two databases, one operational view
Post-merger data consolidation is routinely underestimated. Customer records overlap but do not match. Product catalogues use different identifier schemes. Finance data lives in incompatible formats. The integration is rarely a simple merge.
Connecting systems that were never meant to talk to each other
Operational software stacks grow by acquisition — a CRM here, a warehouse management system there, an accounting platform chosen by the finance team. When these systems need to share data reliably, a bespoke integration layer is often the only option.