Thus, please pay very close attention when installing the add-on and using it in a live system. Always test any new implementation first in a sandbox or development system. HTML code is not allowed. Latest Jobs Latest Jobs in Germany. Subscribe to this RSS feed. Rate this item 1 2 3 4 5 0 votes. All rights reserved. Please note that we are looking at a SAP demo system!
If we look more closely, we can differentiate between the kind of errors we can get help from DQM, for example: 4. As we have a lot of errors in our system, we need to only select the Address ones, therefor the next step is to click on the edit button and on the Address option 5. Here it is possible to jump directly to a change request or a mass process. Alternatively, the affected data record can be assigned to the responsible department for correction.
As mentioned, there is — in analogy to the correction of the data records — also a corresponding routing for the creation and implementation of the data quality rules. Behind each rule there is a rule owner, a developer and a contact person. The rules themselves always consist of two technical rules, the scope and the condition. The scope defines which data record is to be selected for the corresponding rule.
An example: A user has 10, business partners, which include 2, German business partners. When creating the rules, it is also possible to specify for which processes the rule should apply. This ensures that data quality is maintained even for future business partners that are created in the system or imported via an MDC process.
Audit logs are chronologically logged processes in a system. Rules via rules mining The rules can either be implemented by the user or generated using the rules mining app, which is also available in SAP DQM. This can be one of the following: latitude and longitude, address, point of interest ATM, train station, bus station, restaurant, etc. To achieve this, SAP maintains separate geocode directories for different countries. Match and Consolidate This is a very interesting and powerful feature that enables you to eliminate duplicate records in the system that belong to the same entity.
Here, you can set rules based on combinations of various elements matching at a certain threshold and decide whether the record is a duplicate or not. On identification of a possible match, business users can club the record as one; reducing the chances of potential duplicates in the system.
Monitoring and Reporting Data Quality reports and dashboards can be used to continuously monitor and govern your information assets. The DQM micro-services application offers cloud-based micro-services for address cleansing, geocoding, and reverse geocoding. You can embed address cleansing and enrichment services within any business process or application so that you can quickly reap the value of complete and accurate address data.
With address cleansing, you can quickly and easily correct, parse, standardise, validate, and enhance address data. These features support:.
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