#1 most frequent
United States of America
39.0%817 installations of 2,096
What is SAP Master Data Governance?
SAP Master Data Governance is a master data management solution that helps users to implement a cohesive and harmonized master data management strategy across all master data domains. It is presented as a solution that simplifies enterprise data management, increases data accuracy, and that facilitates consolidation, central governance and data quality management.
The SAP Master Data Governance, cloud edition, a cloud-native solution provides a complementary deployment option for SAP Master Data Governance on SAP S/4HANA. It also allows companies to kick-start a net new corporate master data management initiative at a very low entry barrier, with the option to build out additional master data governance use cases at their own speed.
Integration with other SAP solutions supports the reuse of data models, business logic, and validation frameworks with open integration to third-party products and services to support the entire technology stack.
The SAP Master Data Governance, cloud edition, a cloud-native solution provides a complementary deployment option for SAP Master Data Governance on SAP S/4HANA. It also allows companies to kick-start a net new corporate master data management initiative at a very low entry barrier, with the option to build out additional master data governance use cases at their own speed.
Integration with other SAP solutions supports the reuse of data models, business logic, and validation frameworks with open integration to third-party products and services to support the entire technology stack.
Categories & Use Cases
Media
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Screenshot of Data consolidation: An integrated database of customer, supplier, and product information calls for a consumer-grade user experience and an intuitive, flexible process.
Who Buys & Uses SAP Master Data Governance
#2 most frequent
India
8.9%187 installations of 2,096
#3 most frequent
Germany
8.4%177 installations of 2,096
SAP Master Data Governance review
Use Cases and Deployment Scope
My company uses SAP Master Data Governance for vendor master data governance. We had over 80 different business units maintaining their vendor lists on different systems with varying levels of compliance checks. We migrated all of these systems into a central SAP system and implemented SAP Master Data Governance to use as our data governance tool. The approvals and workflow built into SAP Master Data Governance has allowed our many divisions to follow the same procedure for vendor management.
Pros
- Workflows
- Search functionality
- Compliance
Cons
- More user friendly
- Additional user customization
- Dynamic workflows
Return on Investment
- Increased compliance
Alternatives Considered
SAP Ariba
Usability
Other Software Used
SAP Ariba
Master Data Manage made efficient using SAP Master Data Governance
Use Cases and Deployment Scope
I have used SAP Master Data Governance in my organization during setting up new plant in the SAP S/4 HANA, the integration of SAP Master Data Governance helped in importing Master data such as: Material, Customer, vendor into the ERP system which could be used for further smoke testing, SIT and UAT before implementing into Go live. It helped us centrally master data management inlayer based function. SAP Master Data Governance aided in the overhaul simplification of master data management strategies, Plant, vendor, warehouse data management, ensuring the data efficiency and cost saving for the clients.
Pros
- Data conversation and Data uploading into SAP S/4 HANA system using SAP Master Data Governance during SAP implementation phase.
- Centrally Data governance to have visibility of data in different systems with integration to SAP Master Data Governance, including SAP S/4, SAP EWM and SAP Ariba.
- Data Management and Data correction using MDM through SAP Master Data Governance for Materials, which is subjected to approval before finally using in the S/4.
Cons
- It is relatively complex for the new user, the learning curve is somewhat tedious.
- Inhouse implementation is cost heavy.
Return on Investment
- Since it can be implemented in cloud, helped us manage the data centrally and into wider personnel's visibility.
- Helped improve Data quality and process analytics of the SAP implementation life cyclel.
- It created a trusted master reference like: product, customer data, finance data and those of asset data.
Usability
SAP Master Data Governance integrated and high quality solution.
Use Cases and Deployment Scope
SAP Master Data Governance (SAP MDG) is a business solution that enables the easy maintenance and governance of master data. It is an integrated solution designed to help manage master data across industries. It is used for master data management and maintenance across multiple organizations and also for master data quality.
Pros
- Derivations
- Validity checks.
- Governance
Cons
- Maintenance of settings.
- Process quality (workflow issues).
Return on Investment
- n/a
Usability
Other Software Used
Snowflake
Master Your Data with SAP Master Data Governance.
Use Cases and Deployment Scope
SAP Master Data Governance is very valuable and helpful for our organization. It has made the managing, monitoring, and reliability of the data in our organization twice as precise as the other tools in the market. The main reason I say twice is that not only the data reports but also the visual dashboards bring much more clarity to your data.
Pros
- Data Visualization.
- Data Transparency.
- Data Clarity.
Cons
- Consolidating Data.
- Making sense out of complex models.
- Creating those data paths.
Return on Investment
- Quicker Decisions.
- Centralized Data Points.
- Clean visual Dashboards.
Alternatives Considered
Microsoft Power BI
Usability
Other Software Used
Microsoft Power BI
Good product
Use Cases and Deployment Scope
We have implemented SAP Master Data Governance as part of our Finance Transformation program with two main goals: improving master data maintenance and governance processes and creating a centralized hub/source for our downstream systems consuming Finance data elements.
Pros
- Integrations
- Mappings management
Cons
- User interface
- Cost and resource requirements
Return on Investment
- Data Quality
- Clear governance processes
