Abstract

Migrating millions of data after the extraction, transformation, and loading (ETL) process from SAP ECC to S/4HANA is one of the most complex challenges developers and QA engineers face today. The most common risk in these projects isn’t the code; it is data integrity and trust. Validating millions of records across changing schemas, transformation rules, and supply chain processes is vulnerable to error, especially when handled manually.

This article introduces a comprehensive AI-powered end-to-end data integrity framework to reconcile the transactional data and validate millions of master data records and transactional record integrity after migration from ECC to S/4HANA.