Transforming SAP Finance Data Quality for a Global Bank
Automated controls and workflows eliminated reconciliation issues and improved SAP ROI for a global banking institution.
- Compliance, Finance, SAP S/4HANA
Twelve SAP systems had grown up around twelve different ideas of what good master data looks like. Each plant maintained its own naming conventions, its own mandatory fields and its own spreadsheet of local exceptions. Records created in one region routinely failed validation in another, and nobody could say with confidence which version of a record was authoritative.
The data quality team spent most of its week correcting records after the fact rather than preventing bad ones from being created. Every correction was itself a manual SAP transaction, and every correction carried its own risk of introducing a new error.
Promenta was deployed natively inside the existing SAP landscape, so no data left the client systems and no middleware was introduced. A single governance model was defined once and then enforced at the point of creation in every connected system.
Validation runs before the record is committed rather than after. Requesters see the problem while they are still in the request, which is the only point at which fixing it is cheap.
Within one quarter the error rate on newly created master data fell by 94 percent, and the data quality team shifted from correction work to governance work. Month-end reconciliation stopped being a scheduling risk.
Talk to a Promenta specialist about the SAP processes costing you the most time, and we will show you what automating them looks like in your landscape.