SAP Master Data Governance


Master Data Governance: An Overview and Key Considerations

What Is Master Data?

The Data Governance Institute (DGI) defines master data as “the ‘nouns’ upon which business transactions take action.”

Master data, explains DGI, “describes core entities of an enterprise that are used by multiple business process and IT systems. Examples are parties (e.g., customers, employees, vendors, and suppliers), places (e.g., locations, sales territories, and offices), and things (e.g., accounts, products, assets, and document sets).”

Master data, also known as data domains, is often thought of as the core building blocks upon which your business is built.

What Is Master Data Governance?

Master data governance can help a business achieve high-quality master data and visibility into its processes.

Master data governance can, for example, allow for a standard and consistent definition to be created to define “customer,” resulting in a single customer view across multiple lines of business. It does this by allowing a glossary of agreed terminology to be created, along with specific metadata attributes.

Master data management (MDM) can be used as a tool to support master data governance strategy; however, MDM and master data governance should not be confused as the same thing.

The master data governance solution provided by SAP, SAP Master Data Governance, allows organizations to pull together master data from all parts of the organization and manage it centrally. The SAP Master Data Governance application can be implemented on SAP S/4HANA and can be deployed on-premise or in the private or public cloud.

Key Considerations for SAPinsiders

Master Data Governance: An Overview and Key Considerations

What Is Master Data?

The Data Governance Institute (DGI) defines master data as “the ‘nouns’ upon which business transactions take action.”

Master data, explains DGI, “describes core entities of an enterprise that are used by multiple business process and IT systems. Examples are parties (e.g., customers, employees, vendors, and suppliers), places (e.g., locations, sales territories, and offices), and things (e.g., accounts, products, assets, and document sets).”

Master data, also known as data domains, is often thought of as the core building blocks upon which your business is built.

What Is Master Data Governance?

Master data governance can help a business achieve high-quality master data and visibility into its processes.

Master data governance can, for example, allow for a standard and consistent definition to be created to define “customer,” resulting in a single customer view across multiple lines of business. It does this by allowing a glossary of agreed terminology to be created, along with specific metadata attributes.

Master data management (MDM) can be used as a tool to support master data governance strategy; however, MDM and master data governance should not be confused as the same thing.

The master data governance solution provided by SAP, SAP Master Data Governance, allows organizations to pull together master data from all parts of the organization and manage it centrally. The SAP Master Data Governance application can be implemented on SAP S/4HANA and can be deployed on-premise or in the private or public cloud.

Key Considerations for SAPinsiders

The following points can help you implement effective master data governance:

  • Establish master data governance business processes flows. According to the author of this technical article, “An Introduction to SAP Master Data Governance,” Mohammad Assad Shaik, says developers can use rule-based workflow (RBW) templates to configure master data governance business process flows. “RBW uses the Business Rules Framework Plus (BRF+) component as the configuration engine. Although the SAP Business Workflow is the foundation for the RBW, the look, feel, and configuration mechanism vary,” writes the author. “RBW not only supports the approval processes but also executes validations at defined steps.”
  • Create a use case. In his article, Shaik describes a scenario where an enterprise is operating three SAP ECC systems, one for each business unit. The steps listed describe how the enterprise selected a deployment model for material master data maintenance using SAP Master Data Governance. Read the use case.
  • Improve supply chain operations with the right master data governance tools. The data governance team at Ascend Performance Materials was tasked with improving multiple supply chain processes to help its supply chain technicians, mechanics, and other employees find the data they needed faster. To address the challenges, Ascend worked with Winshuttle (acquired by Precisely in 2021) to implement Winshuttle Foundation, a business process automation and data management platform with deep SAP integration capabilities. It also implemented Winshuttle Studio. Read how these solutions enable a flexible and iterative approach into the business.

1273 results

  1. Efficient Data Management in Healthcare Using SAP Master Data Governance

    Reading time: 9 mins

    SAP’s Master Data Governance application provides an integrated data management capability for the creation, maintenance, validation, and distribution of master data across the enterprise. If you already have an SAP ERP system, then adding SAP Master Data Governance accelerates the master data maintenance process, leading to enhanced quality of your master data by leaps and…
  2. An Introduction to SAP Master Data Governance

    Reading time: 5 mins

    Discover the conceptual architecture of SAP Master Data Governance (MDG) and its capabilities. Learn from a comparison of MDG and SAP NetWeaver Master Data Management (MDM) and then step through a use case scenario of maintained master data with MDG. Key Concept SAP Master Data Governance provides a strong master data governance capability for finance,…...…
  3. Optimize Data Management in All Phases of Your SAP Implementation

    Reading time: 22 mins

    Poor data management can lead to many problems, from incorrect data, to a lack of integration, to bad analysis. Learn ways an effective data management strategy can help you in your efforts to optimize your system’s performance while increasing your compliance and reducing cost. Key Concept Data management is a critical component of running a…...…
  4. Managing Data with SAP Data Replication and Transformation Tools

    Reading time: 30 mins

    Data and solution integration is becoming one of the most important aspects in enterprise architecture. Learn about the functionalities provided by SAP data replication and transformation solutions and their proper use. Key Concept Modern business solutions often run in a complex enterprise landscape that requires extensive use of data replication and transformation functionality. Tools such…...…
  5. Special Report: Implementing SAP HANA – An End-to-End Perspective

    Reading time: 69 mins

    In this exclusive special report, get an in-depth, step-by-step look at the aspects of implementing BI solutions on SAP HANA. Gain insight into how ETL integrates with SAP HANA and how SAP BusinessObjects BI 4.0 analyzes and visualizes the data stored in SAP HANA. Key Concept SAP HANA modeling is a process whereby a developer…...…
  6. Get Data From Any Table in Another SAP System

    Reading time: 18 mins

    Say you want to get the contents of a table from one of your SAP systems (called the source system) into a current system (called the client system). Most of the time if you want to access the table content of a source system, you need to: Check to see if the content is in…...…
  7. Get Data From Any Table in Another SAP System: A Generic Way in ABAP

    Reading time: 29 mins

    Learn a new way to load data from any table in any SAP system to any other SAP system. See how to use a Remote Function Call (RFC) function module call, Runtime Type Service (RTTS), and JavaScript Object Notation (JSON) serialization/deserialization. Key Concept A Remote Function Call (RFC)-enabled function module is a function module that…...…
  8. Introduction to the ABAP Data Dictionary and Managing Data Dictionary Objects (Chapter 5)

    Reading time: 94 mins

    This sample chapter (chapter 5) from Faisal Altaf’s book, “Introduction to ABAP: A Project-Driven Guide,” is an overview of the ABAP Data Dictionary. The book uses the example of a point of sale project to introduce ABAP. As a current SAP Experts member you can read the eBook (online or download) with no extra charge…...…
  9. Secrets to Successful Data Conversions

    Reading time: 23 mins

    Converting data from a legacy system to an SAP system can be a daunting task. Follow experienced advice for planning and executing your data conversion strategy, from developing project scope to testing and monitoring the data conversion. Included with these tips are two downloads: a sample Microsoft Visio data dependency planning chart and a conversion…...…
  10. Select and Transfer a Time Slice of Data for Testing with SAP Test Data Migration Server 3.0

    Reading time: 35 mins

    The new SAP Test Data Migration Server (TDMS) is an automated solution for creating test systems that can be a real alternative to full-system copies. It can pare down the size of your test system in a variety of ways, the most popular of which is to copy only a time slice of your production…...…