Data migration is handled as a controlled, structured process, with integrity and business continuity at the centre of every decision. The approach is designed to ensure that nothing critical is lost, corrupted or left unvalidated in the move to the new platform.
This begins with full data mapping and validation across all key domains — products, customers, orders, inventory, and beyond — followed by data cleansing and preparation before any migration activity takes place. Staging and test migrations are run to validate accuracy ahead of the live cutover, with parallel validation in place to confirm that reporting, transactional history, and customer data remain intact throughout.
The core data domains in scope are:
Customer profiles and purchase history
Product and catalogue structures
Order and transaction records
The measure of success is that each of these moves cleanly and completely, without impacting trading capability, reporting accuracy, or the customer experience. A migration that introduces data gaps or inconsistencies creates downstream problems that are costly and disruptive to unpick — which is why validation at every stage is non-negotiable.