I've got clients from multiple industries who use the solution across the industries, including consumer products, FMCG, the high-tech industry, services clients, and resources. We use the solution for central finance-related clients, the customer services department, sales and distribution, and the manufacturing process.
The standard SAP MDG solution is for business partners, materials, and financial master data. For retail, you can manage products and materials through Article Master Data.
We've got a centralized business partner. We run it all through MDM and MGG, specifically, and we then use the PIN to distribute that business partner around two systems. But essentially, we use it for management purposes.
Learn what your peers think about SAP Master Data Governance. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
Module Lead at a tech consulting company with 10,001+ employees
Real User
Top 10
2023-09-27T12:34:06Z
Sep 27, 2023
SAP Master Data Governance functions as a standard data model, offering users both an inbuilt and custom data model. Regardless of the type of data or attributes involved, users can add, delete, and decompose fields and attributes based on the specific data model, whether it pertains to suppliers, customers, finance, or master data. Once the governance process is completed, the data can be seamlessly moved to the target system, showcasing one of the key advantages of SAP Master Data Governance.
The continuous governance of creating master data is great. If the master data is unorganized or inaccurate, the sanctity of the transition data would not be intact. Hence, this solution provides continuous monitoring and governance for creating the master data. We deploy this solution on public cloud and on-premises.
I work on the functional side of this solution. From an operations point of view, that relates to critical attributions, rules, the way in which data quality improves, and the way the tool governs activities with respect to different business stakeholders. I work for a global analytics and consulting company. We are end users and I'm a senior manager.
This product is helpful for streamlining the master data management process, improving the quality of the master data. That's the typical use case. I'm the senior manager in the company and a solutions architect - we provide this solution to our clients.
Master Data Governance at a non-tech company with 5,001-10,000 employees
Real User
2021-10-13T08:46:20Z
Oct 13, 2021
I work for a train company on the IT side of master data management. We are customers of Master Data Governance and I'm a functional consultant of master data. I implement the solution across our numerous locations.
SAP MDG Consultant at a tech services company with 11-50 employees
Consultant
2021-02-04T07:30:38Z
Feb 4, 2021
The solution is primarily used for workflows. For example, in Turkey, some of our customers have different material quotes, material numbers, or material types. Everything is so confusing from the main company. It's hard to go over the old data. However, with MDG, they can see all the data in the system. It allows for an effective data workflow. There are workflows for all kinds of items, including materials, data, customer's financials, vendor details, ERPs, etc.
Associate Partner at a tech services company with 201-500 employees
Real User
2021-01-28T18:58:00Z
Jan 28, 2021
We're a consulting company in the area of procurement solutions, where product and supplier master data builds the base for any Spend Analytics, Strategy and any Automation Scenarios. Majority of our customers use SAP MDG especially for Supplier Master Data. Our customers are integrating their central SAP MDG with procurement solutions for self-registration and supplier profiling including supplier qualification, supplier performance and development. The central SAP MDG is also used as master data hub to distribute Central Master Data and Supplier Master Data into the different back end systems like SAP ERPs and Non SAP ERPs and others.
The solution is for creating and managing a Master Data across an organization. We implement the solution for customers to streamline the creation, inundation, and dilution of Master Data across domains, such as financial masters. The main use case is to increase data quality by starting to create the right data with the right people and distribute it to the consuming systems. We want to enable users to be able to identify the golden record for all of a particular Master Data set. For example, to prevent a unique customer from getting mixed up in the use cases. Bringing in data standardization, to prevent users from spending too much time on the creation of the Master Data. This can be done via the implementation of business tools by the customer or sometimes the company itself, preventing the overload of data. Lastly, data enrichment can also be achieved.
Your company wants accurate, complete, and trusted data to master your digital business processes and business models. The SAPĀ® Master Data Governance application provides ready-to-run, domain-specific master data governance, enabling you to decentrally own and consolidate and to centrally create, change, and distribute master data across your enterprise system landscape. Tight integration with other SAP solutions supports the reuse of data models, business logic, and validation frameworks...
The primary use case for SAP Master Data Governance is similar to when using Informatica Hub and IDQ; it is used in the same fashion.
I've got clients from multiple industries who use the solution across the industries, including consumer products, FMCG, the high-tech industry, services clients, and resources. We use the solution for central finance-related clients, the customer services department, sales and distribution, and the manufacturing process.
The standard SAP MDG solution is for business partners, materials, and financial master data. For retail, you can manage products and materials through Article Master Data.
We've got a centralized business partner. We run it all through MDM and MGG, specifically, and we then use the PIN to distribute that business partner around two systems. But essentially, we use it for management purposes.
My technical expertise allows me to provide end-to-end implementation support, including managing interfaces between applications.
We use the platform for centralizing and streamlining the management of an organization's master data.
Our primary use case involves customization to meet business requirements.
The solution is used for workflow, data collection, and integration with SAP and Salesforce.
SAP Master Data Governance functions as a standard data model, offering users both an inbuilt and custom data model. Regardless of the type of data or attributes involved, users can add, delete, and decompose fields and attributes based on the specific data model, whether it pertains to suppliers, customers, finance, or master data. Once the governance process is completed, the data can be seamlessly moved to the target system, showcasing one of the key advantages of SAP Master Data Governance.
We use the solution for features like material master data, auto derivations, and duplicate checks.
The continuous governance of creating master data is great. If the master data is unorganized or inaccurate, the sanctity of the transition data would not be intact. Hence, this solution provides continuous monitoring and governance for creating the master data. We deploy this solution on public cloud and on-premises.
I work on the functional side of this solution. From an operations point of view, that relates to critical attributions, rules, the way in which data quality improves, and the way the tool governs activities with respect to different business stakeholders. I work for a global analytics and consulting company. We are end users and I'm a senior manager.
We use it for material master, customer master, and things around vendor master.
This product is helpful for streamlining the master data management process, improving the quality of the master data. That's the typical use case. I'm the senior manager in the company and a solutions architect - we provide this solution to our clients.
SAP Master Data Governance is used for enterprise architecture.
I work for a train company on the IT side of master data management. We are customers of Master Data Governance and I'm a functional consultant of master data. I implement the solution across our numerous locations.
The solution is primarily used for workflows. For example, in Turkey, some of our customers have different material quotes, material numbers, or material types. Everything is so confusing from the main company. It's hard to go over the old data. However, with MDG, they can see all the data in the system. It allows for an effective data workflow. There are workflows for all kinds of items, including materials, data, customer's financials, vendor details, ERPs, etc.
We're a consulting company in the area of procurement solutions, where product and supplier master data builds the base for any Spend Analytics, Strategy and any Automation Scenarios. Majority of our customers use SAP MDG especially for Supplier Master Data. Our customers are integrating their central SAP MDG with procurement solutions for self-registration and supplier profiling including supplier qualification, supplier performance and development. The central SAP MDG is also used as master data hub to distribute Central Master Data and Supplier Master Data into the different back end systems like SAP ERPs and Non SAP ERPs and others.
The solution is for creating and managing a Master Data across an organization. We implement the solution for customers to streamline the creation, inundation, and dilution of Master Data across domains, such as financial masters. The main use case is to increase data quality by starting to create the right data with the right people and distribute it to the consuming systems. We want to enable users to be able to identify the golden record for all of a particular Master Data set. For example, to prevent a unique customer from getting mixed up in the use cases. Bringing in data standardization, to prevent users from spending too much time on the creation of the Master Data. This can be done via the implementation of business tools by the customer or sometimes the company itself, preventing the overload of data. Lastly, data enrichment can also be achieved.
Our primary use for the product is for master data management and the company IP.