High-quality data is crucial for an organization's processes such as operational efficiency, revenue growth, compliance, analytics, digital transformation and risk management. It helps to execute the data management strategy transparently and achieve sustainable success. SAP Master Data Governance, or SAP MDG for short, is a solution that enables businesses to define, manage, monitor and improve their centralised or decentralised master data hosted in hybrid environments. In this blog post, we will examine the master data governance definition and discuss Master Data Governance on SAP, including its main modules and advantages.
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SAP Master Data Governance (SAP MDG) is a solution that enables businesses to easily separate their data and transfer it to source databases in the most optimized way. It is an integrated solution designed to help them manage master data across businesses. SAP MDG application uses a master data management layer based on SAP Business Technology Platform and enables centralised master data management.
SAP MDG helps companies to mitigate the risk of business disruption caused by inaccurate or missing data, which can result in loss of revenue and customer confidence.
SAP MDG supports an enterprise-wide approach to master data management (MDM) by providing a comprehensive set of tools for controlling and monitoring master data, including:
Thanks to the features of the SAP Master Data Governance solution, there are different use cases.
SAP MDG has an integrated database containing product, customer and supplier information. This feature, which provides a single view of the data, ensures that analyses are performed accurately. It also maps data according to a common data standard and collects it in a centralised system.
SAP MDG helps to create, distribute and manage master data by centralising different types of data sources. Consolidating data on a centralised platform ensures data consistency at all times.
SAP Master Data Governance has bulk data processing features. In this way, it offers businesses the opportunity to make bulk changes to their data related to interlocutors, suppliers, customers and products. Businesses can change large volumes of data as real-time analyses and easily import and export files such as CSV or Microsoft Excel.
SAP MDG, defined, verified and followed business rules provide assurance in the preparation of master data and ensure that this data is suitable for use. It enables master data quality to be measured and monitored. It provides visibility into data standards by providing the ability to view data quality process indicators and error distribution across domains.
It is not possible to think of any business process without data. Therefore, efficiently managing data, which plays an important role in the execution of operational tasks, has a great impact on the competitiveness of businesses. The management of data, the amount of which is growing day by day, is becoming more difficult, and data storage and analysis costs are increasing. Unnecessary data that does not make sense causes employees to waste time and make wrong decisions.
SAP Master Data Governance application helps businesses manage their master data much more efficiently. SAP MDG solution supports master data sources such as supplier manager, customer manager, contract receivables and payables, financial data. The solution helps to distinguish between unnecessary and necessary data, easily imports data into the source database, detects poor quality data and helps to perform effective master data management. This results in a more consistent and reliable master data repository.
SAP's solution helps in improving the processes related to master data management (MDM), including data quality, consistency and accuracy.
Master Data Management (MDM) and Master Data Governance (MDG) are two SAP solutions that provide a way to manage and maintain master data. The difference between MDM and MDG relates to the distribution process of data.
Master Data Management (MDM) is a process that ensures the quality, consistency and accuracy of data across the enterprise. It also ensures that all data is shared across the organization and provides a single version of truth.
With MDM, the data is stored in one place and distributed to other systems. For example, a company might have an ERP system that contains customer information. The company would then use MDM to send updates from the ERP system to other systems, such as CRM and e-commerce applications when there's a change in customer data.
With MDG, on the other hand, there are multiple places where the same data is stored. For example, if you need customer information for both your ERP system and CRM application, you can use MDG to store it once in both systems instead of storing it twice in different locations.
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