Improve Your Business by Leveraging SAP MDG
SAP Master Data Governance (SAP MDG), is SAP’s solution for data management, designed to fit naturally into your SAP Landscape Solution. It can help you consolidate the entire master data lifecycle from a central location. SAP MDG works effectively with ERP and S/4HANA to address all aspects of data governance needs, creating a seamless MDG experience.
For SAP models that are currently in place, the SAP MDG Program can be easily implemented as a new Hub, created on a separate, internal server, or it can be embedded in an existing SAP Box or Hub.
The SAP MDG program can also be used to optimize non-SAP systems. Because it’s offered as free software with licenses based on number of records to be managed, SAP MDG can be utilized with non-SAP systems as an add-on system tool and can be deployed On-Premise. Being deployed On-Premise means the solution remains installed on a company’s own servers and behind its firewall, or Cloud, which offers increased flexibility, agility, and scalability for enterprises.
Whether your company is already part of an SAP system or is looking to implement SAP data management, the SAP MDG Program is ready to use out of the box for most common master data objects such as Customers, Materials, Suppliers, Financial Objects in General, and Asset Objects as a 3rd party solution which includes components such as Equipment Master and Bill of Material, for example. Other master data objects can be built on this platform as well to provide further customization and personalization for your company.
The SAP MDG program combines various components that improve data quality, integrity, workflow, and flexibility for your company. Whether your company wants to implement a Central or a Federated data governance model, the SAP MDG program is highly flexible and can work with however the data governance program will be operationalized across the organization.
Standard and custom workflow models for data maintenance can be integrated into the MDG program to allow the organization to precisely control the maintenance process. It also allows for the tracking of various workflow models as well as where in the process the data maintenance is.
Data quality is another key component of MDG. Data quality ensures that master data is fit for the intended purpose and correctly represents the real-world construct that the data describes. Data Quality management is a set of practices that focuses on maintaining high quality information and is involved in every part of data, from acquisition, to implementation of data processes, through to an effective distribution of data.
Data quality involves rule management and mining, DQ evaluation, analysis, and remediation. These processes are utilized in SAP’s MDG program to ensure the highest quality data so that the output is accurate, reliable, secure, and usable. One example of this is address validation using guidelines from USPS which ensures correct address for customers and vendors.
Extended data validation, data consolidation, mass data processing, extended audit reports and analytics, round out the components of successful MDG programs. These measures help to increase transparency, detail, and disclosure so that data is governed and integrity maintained.
Data quality involves rule management and mining, DQ evaluation, analysis, and remediation. These processes are utilized in SAP’s MDG program to ensure the highest quality data so that the output is accurate, reliable, secure, and usable. One example of this is address validation using guidelines from USPS which ensures correct address for customers and vendors.
Extended data validation, data consolidation, mass data processing, extended audit reports and analytics, round out the components of successful MDG programs. These measures help to increase transparency, detail, and disclosure so that data is governed and integrity maintained.
Written by Cara Ridenhour, Arturo Blasi, and Ashley Stufano