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Component: CA-MDG
Component Name: Master Data Governance
Description: The number of records that violate or comply with the condition of the rule.
Key Concepts: Data evaluation is a process in SAP CA-MDG Master Data Governance that allows users to assess the quality of their master data. It helps to identify any inconsistencies or errors in the data, and provides a way to correct them. The process involves comparing the data against predefined criteria and then providing feedback on the results. How to use it: Data evaluation can be used in SAP CA-MDG Master Data Governance by first setting up the criteria for evaluation. This can be done by defining rules and conditions that must be met for the data to be considered valid. Once these criteria have been set, the data can then be evaluated against them. The results of the evaluation will then be displayed, allowing users to identify any errors or inconsistencies in their master data. Tips & Tricks: When setting up criteria for data evaluation, it is important to ensure that they are as specific as possible. This will help to ensure that only valid data is accepted and that any errors or inconsistencies are identified quickly and accurately. Additionally, it is important to regularly review the criteria to ensure that they are still relevant and up-to-date. Related Information: Data evaluation is an important part of SAP CA-MDG Master Data Governance, as it helps to ensure that master data is accurate and up-to-date. It can also help to improve the overall quality of the data, which can lead to better decision making and improved business performance. Additionally, it can help to reduce costs associated with incorrect or outdated data.
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