In an SAP S/4HANA Cloud Greenfield project,clean corefocuses on a standardized, extensible system with high-quality data. Key aspects for data quality include:

Efficiency(A): Clean core principles prioritize efficient processes and data structures, minimizing customizations that could degrade performance or complicate upgrades. Efficient data quality ensures streamlined operations (e.g., fast MRP runs) and leverages standard SAP functionalities effectively.

Stability(D): Maintaining a stable core with consistent, reliable data (e.g., master data integrity in MM03) prevents disruptions during updates or extensions. Stability ensures the system remains robust and predictable, a cornerstone of clean core in a Greenfield implementation.

Accuracy(B) is critical for data quality in general (e.g., correct BOM quantities), but clean core emphasizes systemic qualities over content accuracy, which is assumed.Timeliness(C) matters for operational data (e.g., stock updates), but it’s less tied to clean core’s structural focus. This is per SAP’s clean core guidelines.