Data migration and systems modernisation
Client context
A capability we apply for organisations carrying years of critical operational data on an end-of-life platform that is costly to run, hard to change and increasingly risky to depend on.
Business challenge
Years of operational data are locked in a legacy platform nearing end of life. Skills are scarce, change is slow and risky, and the business can't simply stop while the data moves — but staying put carries its own rising cost and risk.
Solution
A staged migration to a modern data platform, sequenced by workload and risk, with reconciliation at every step so the business can trust that nothing has been lost or altered in transit.
Parallel running and a controlled cut-over mean the migration happens without operational downtime, and the new platform lays governed foundations for reporting and future AI.
Technology approach
A target data platform with a clear model; migration pipelines with validation and reconciliation; lineage and data-quality checks; parallel running and staged cut-over for critical workloads.
Delivery method
Assess and profile the legacy estate; migrate in prioritised stages; reconcile and sign off each stage; run in parallel before retiring the legacy platform.
Business outcome
Outcomes stated qualitatively; verified performance figures are not published.