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Process documentationData Quality Remediation Process

 

MDG ensures that standards are observed when master data are created and changed. If master data do not comply with these changing standards, then these objects with errors can be identified with data quality services. With a data quality tool or your own implementation these problems can be solved.

The data quality remediation (DQR) provides the process integration of identifying master data objects with errors in a data quality tool as the SAP Information Steward, for example, and their correction in Master Data Governance (MDG). In order to use this process, you additionally need to implement a tool that is not part of the delivery of SAP Master Data Governance 6.1.

Process

  1. A data quality tool analyzes master data according to a set of data quality rules to detect objects with errors. This can be done in a periodical batch run, based on master data that was previously loaded from MDG systems and other systems.

  2. Typically the master data specialist wants to identify the objects with errors with the highest priority or with similar quality issues. In order to support this, a data quality tool might offer the filtering of the objects with errors according to a rule (or a set of rules). MDG allows the master data specialist to select the criteria for the filtering that is done by the data quality tool. Alternatively, MDG can integrate a data quality tool specific UI that allows to select criteria for filtering. The MDG DQR retrieves the objects with errors and displays them for investigation by the master data specialist.

  3. The master data specialist selects an object with errors and creates a change request for data quality remediation. With the data quality remediation process is also possible to create multiple change requests at once, one for each of the selected objects. Additionally, one change request can be used for multiple objects.