Efficiently handling master data in SAP Process Control is critical for enabling precise risk evaluation, overseeing compliance, and, ultimately, driving success of the effectiveness of governance, risk, and compliance (GRC) endeavors in an organization.
This ensures that all relevant information is properly documented and is readily available for continuous monitoring, reporting, and well-informed decision-making procedures. The following sections provide an overview of the key master data elements that are required to be configured in SAP Process Control and details how each master data element is related to the others.
Overview of Key Master Data Elements
As mentioned, setting up the master data serves as a fundamental step in building the foundation for SAP Process Control. This encompasses various master data components, as outlined in this table.
Relationship between Master Data Attributes
The master data elements listed in the table above are interconnected. For each subprocess defined, organizations should identify the objectives, that is, outcomes, that are represented by the control objectives. Additionally, it’s essential to highlight any risks associated with the subprocess that could impact achieving those objectives. Subsequently, controls are established to not only meet the subprocess objectives but also to mitigate the identified risks, ensuring they doesn’t materialize.
Account groups are used as one of the main factors to identify whether the significance of the subprocesses is key or not. Once the subprocesses and controls are defined as detailed previously, the same are assigned to the respective organizations in the hierarchy where they are being operated. The figure above illustrates the relationships between the master data elements.
Editor’s note: This post has been adapted from a section of the book SAP Process Control: The Comprehensive Guide by Raghu Boddu and Ramakrishna Chaitanya.
Comments