The SAP Master Data Governance cycle consists of 5 steps. It starts with an out-of-the-box delivery, offers an integrated object model, enables governance, collaboration, and high-quality data, delivers robust data due to replication, and allows the reusability and extensibility of the data domain, depending on your needs.
The following figure shows the main capabilities of SAP Master Data Governance.

Out-of-the-Box Delivery
This section introduces the out-of-the-box capabilities of SAP Master Data Governance that speed deployment and lower total cost of ownership. It previews how preconfigured workflows, best‑practice data models, data quality services, and built‑in integration deliver flexibility, transparency, and easy consumption across SAP and non‑SAP landscapes.

The high cost of implementing and running software solutions increases total cost of ownership (TCO). A co-deployment of SAP Master Data Governance on an existing SAP ERP or SAP S/4HANA system reduces the TCO.
Flexibility is one of the biggest advantages of SAP Master Data Governance. SAP Master Data Governance allows you to customize almost everything. For example, change request types, rule-based workflows, screens, and even the underlying data model can be extended.
SAP Master Data Governance is easy to consume and ready to run. It comes with standard roles, workflows, and pre-defined workflow inboxes for processing change requests, with user interfaces for data maintenance or approval, interfaces for integration to SAP BusinessObjects data services, and so on. This allows customers to immediately start with a proof-of-concept. It avoids what is often one of the most costly parts of any other master data management implementation - the reuse of existing processing logic in the back end.
The pre-delivered, best practice data models of SAP Master Data Governance are based on the models in the SAP Business Suite. Hence, they are already proven in the SAP business context across multiple applications and industries.
Master data governance behaves similarly to master data applications in SAP Business Suite, especially in the sense that master data governance uses the exact same validations that existing master data transactions use.
To replicate data from master data governance into other systems, it uses established replication mechanisms (such as existing IDoc templates), thus providing an out-of-the-box integration mechanism into SAP Business Suite. Additionally, it provides the means to replicate to non-SAP systems (for example, using Enterprise Services).
Integrated Object Model
The figure illustrates the available domain-specific, out-of-the-box solutions, provided by SAP, and the implementations, performed by customers, using the application framework.

The out-of-the-box domain solutions include:
SAP Master Data Governance for customer data (corporate, company, and sales related data, partner functions)
SAP Master Data Governance for supplier data (corporate, company, and purchasing related data, partner functions)
SAP Master Data Governance for material data (corporate, sales org, plant, storage, warehouse, valuation and costing data)
SAP Master Data Governance for financial data (financial accounting / consolidation data, companies, profit and cost centers)
SAP Master Data Governance for retail and fashion management* (single and generic article, listings, hierarchies, characteristics for variants, and so on)
SAP Master Data Governance for enterprise asset management data* (equipment, functional location data, MRO bills of material, and so on)
Note
The figure provides an overview of the out-of-the box delivery of proven data models for operational and financial master data used in central governance with SAP Master Data Governance.

SAP delivers data models for Financials, Material/Product, and Supplier/Customer (based on the overarching business partner model). Extensions for Enterprise Asset Management and for Retail and Fashion Management are partner offerings.
Governance and Collaboration
The SAP Master Data Governance solution strategy uses principles that represent the people-centric and flexible goals of the solution.
In general, the processes of the solution can be adapted and tailored to the customer's needs.
This includes the following:
Workflows can be linear, distributed, or started immediately.
Clear roles and responsibilities follow a task-oriented approach.
Process steps can be added using either a flexible rules-engine or reusing existing logic.
Data in the governance process is separated but can be transferred to the operational database in a very controlled mode.
In summary, this fosters flexibility and user acceptance while ensuring governance.

Data Quality
- Prevents the Creation of Duplicates
- Checked early and embedded in the process
- High detection quality of matching using SAP S/4HANA or Enterprise Search
- Increases effectiveness and efficiency
- Enables the Reuse of Existing Validation Rules
- Existing validation logic can be reused
- Custom validations can be modeled and programmed (for example, code lists, simple checks, or rules using BRFplus)
- Rules can be integrated from Data Quality Management in Master Data Governance
- Shows What's Changed
- Changes by earlier processors, along with your own (unsaved) changes, are shown in two colors
- Previous, changed, and last-saved values exist per attribute
- Available for all fields, including table cells, rows, navigation elements, and so on.
- Helps People do their Tasks
- Supports the processor to decide on their next action
- Supports approvers to quickly spot what they need to approve
- Supports auditors to easily see what was changed
- Provides Transparency on What's Happened in the Past
- Change documents provide information on who changed which attribute, when they changed it, and from what value to what other value
- Workflow logs show who was involved in the change request process and who approved which data change

Data Replication
Once you have maintained and approved the master data on the central master data governance system, you can replicate it to the relevant SAP and non-SAP systems. Master data governance offers the Data Replication Framework (DRF) that supports you to organize and execute the data replication.
The DRF framework sits on top of established replication mechanisms, such as ALE/IDoc and Enterprise Services. The purpose of the DRF is to support you in keeping track of what needs to be distributed and what has been distributed successfully or not, regardless of the various replication mechanisms. In DRF, systems can subscribe to the distribution of master data based on certain filter criteria; for example, only materials for plant 1000, with material type FERT, are distributed to system XYZ.
DRF also helps in monitoring the distribution and in resolving errors.
In addition, master data governance can handle things like key mapping (keeping different historical keys for existing master data in decentralized systems, while only maintaining the data once centrally). It also manages value mapping (allowing distribution to systems that might have a different understanding of the values of an attribute. For example material type FERT in one system might be called PROD in another systems).

Replication Status Information
Replication Status Information:
- Overview of replication status per customer/supplier to all relevant target systems
- Status per target system:
- Green: OK
- Yellow: OK, but answer from target system still pending
- Red: Error occurred
- Detailed log per target system available.

Selection of Target Systems
Activate option per Change Request type in IMG under Master Data Governance→Central Governance→General Settings→Process Modeling→Change Requests→Create Change Request Type.

Pooled or Direct Replication
You can decide if you want to enable direct replication or pooled replication for each combination of business object and target system. With direct replication, the messages are sent with the activation of the change request. With pooled replication, the messages are sent periodically using the DRF change pointer:
Direct Output
Changes are directly transferred to a target system.
Pooled Output
Changes are collected and transferred in a mass process at a later point in time.

You can trigger the mass process for pooled output by starting or scheduling the report Execute Data Replication (RDRF_MESSAGE_OUT) for the relevant replication models.
Reusability and Extensibility
A major focus has been put on reuse and extensibility in master data governance.
You can reuse extensions in the SAP Master Data Governance data model that were made on SAP Master Data in the SAP Business Suite. You can also reuse business logic that you created in SAP Business Suite, for example, to validate newly created master data.
SAP Master Data Governance offers flexibility and extensibility features to adapt the standard to your needs. That means you can benefit from the out-of-the-box capabilities of SAP Master Data Governance, which can be extended.













