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5 reasons to implement SAP MDG during your SAP S/4HANA transformation
Jun 9, 2022
With SAP Master Data Governance (MDG), SAP offers a solution that enables you to ensure a consistent and harmonized strategy for managing your master data across all company divisions. Generally speaking, this is a topic that is becoming increasingly important as data volumes continue to grow. However, it can also play a crucial role in a SAP S/4HANA transformation. The following 5 points show why implementing SAP MDG is worthwhile, especially during your move to S/4HANA.
Reason 1: Perfect timing
The SAP S/4HANA transformation is a time-consuming process that can sometimes take years. Various processes are adapted, systems are converted and the way SAP is used changes. So why not change master data maintenance at the same time using the SAP Master Data Governance (SAP MDG) tool?
Reason 2: Intermediate step in the transformation process and integral part of SAP S/4HANA
For many customers, implementing SAP MDG can be the first step towards SAP S/4HANA. As part of a sub-project, valuable experience can be gained that may improve the further S/4HANA transformation process and make it more efficient. In addition, users can learn how to use S/4HANA functions in a defined environment. This includes the introduction of the "business partner" that inevitably accompanies the S/4HANA transformation. MDG implementation equalizes this process and enables an early transition to the business partner environment.
Reason 3: Improving data quality
Many of the ERP systems still in operation are several years, if not decades, old. As such, they no longer meet today's requirements and standards needed for a smooth migration to SAP S/4HANA. The introduction and implementation of SAP MDG and the accompanying data quality management will uncover errors and optimization potential in the master data.
Reason 4: Data consistency
With the introduction of SAP MDG, the change to a consistent business partner is completed. Some of the data resides on different systems, which is consolidated and standardized. As an out-of-the-box solution, SAP MDG offers predefined data models, user interfaces and workflows for various master data objects. Close integration with an already existing SAP ERP system is also possible without any problems. Furthermore, MDG offers customizable user interfaces and functions.
Reason 5: Checking for duplicates and errors
Incorrect and duplicate data records are identified by the Data Quality Management and the various analysis tools of SAP MDG. Afterwards, the duplicates can be deleted and missing data can be added.
Where to start with Data Quality Management (DQM)?
Is this a question you've been asking yourself for quite a while? Find out which approaches and questions might help you on your DQM journey, how SAP MDG can help, and how Natuvion's data governance experts complement the tool.
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