A UK-based discrete manufacturer with multiple production sites and annual revenues in the low hundreds of millions of pounds. The business had run SAP ECC for well over a decade, accumulating deep, interdependent master data across its operations. With SAP’s end of mainstream maintenance for ECC on the horizon, the company committed to migrating to a modern cloud ERP.
The migration touched the data the factory runs on: customer and supplier master data, product and material masters, bills of materials, inventory, open orders, manufacturing history and financials. The programme team’s initial estimate put the effort at more than twelve months. The overriding concern was not the timeline but the risk — a single incorrect mapping, such as a mis-stated unit of measure, a broken bill-of-materials relationship or a mis-posted account, could halt production or corrupt financial reporting after go-live. In a manufacturing business, that risk is measured in stopped lines and missed shipments.
The conventional route was to have consultants manually analyse SAP’s sprawling table structure, hand-document mappings to the target model, and iterate through cycles of build and test. With thousands of fields and years of configuration drift, this was painstaking and slow — every change rippled through weeks of re-analysis and re-testing. Worse, manual analysis is where the dangerous errors hide: the subtle mapping mistakes that pass a cursory review and only reveal themselves in production. Adding more people compounded coordination overhead without materially reducing the risk.
DataSync’s agents profiled the SAP ECC source, learned the target ERP’s data model, and generated the field-level mappings and transformation logic automatically — complete with the business rules and lineage documentation the programme needed for sign-off. Just as importantly, DataSync flagged data-quality issues and mapping ambiguities up front, where they could be resolved in review rather than discovered at go-live. The migration team implemented the load from DataSync’s validated specification, and as the source data continued to change through the project, DataSync detected the drift and updated the affected mappings so nothing silently broke.
In the customer’s words
"The mapping was always the part that kept us up at night. With that analysis automated and documented, we stopped worrying about moving the data and put our attention where it belonged — on running the business through the transition.”
— ERP Programme Director
DataSync is an AI platform for data migration and integration projects. Its agents analyse source systems, generate and maintain field-level mappings and transformation logic, surface data-quality issues, and produce the validated specification, governance and lineage documentation that engineering teams build from — turning work that once took months of manual analysis into weeks.
DataSync is a product of Blackstone DataSync Ltd, registered in England & Wales. To see how it could accelerate your next data project, visit datasync-ai.com or contact the team for a demonstration.
.png){kind=logo}