SAP MDM


SAP MDM – Governance as Key to MDM success

In an era where data analytics drives the revenue bus for all companies, a reliable single source of truth of company data is mandatory. Companies recognize the criticality of having reliable and comprehensive master data.

SAP Master Data Governance is a solution built on SAP Business Technology Platform. It pulls together master data organization-wide and manage it centrally to provide a united, trusted view into the business. It comes as a cloud and on-premise version, and supports all master data domains and implementation styles with pre-built data models, business rules, workflows, and user interfaces. As one would expect from any SAP product today, it also connects to a wide variety of SAP and non-SAP software through interfaces. Read this article on the improvements SAP has done in its Master data capabilities – An Introduction to SAP Master Data Governance.

SAP MDM – Governance as Key to MDM success

In an era where data analytics drives the revenue bus for all companies, a reliable single source of truth of company data is mandatory. Companies recognize the criticality of having reliable and comprehensive master data.

SAP Master Data Governance is a solution built on SAP Business Technology Platform. It pulls together master data organization-wide and manage it centrally to provide a united, trusted view into the business. It comes as a cloud and on-premise version, and supports all master data domains and implementation styles with pre-built data models, business rules, workflows, and user interfaces. As one would expect from any SAP product today, it also connects to a wide variety of SAP and non-SAP software through interfaces. Read this article on the improvements SAP has done in its Master data capabilities – An Introduction to SAP Master Data Governance.

Key elements of the solution include:

  1. Centralized creation and maintenance of master data – Companies can ensure governance at the point of authorship and avoid duplication, invalid edits, and non-compliance
  2. Automated workflows – Standardized and customizable, these automated workflows ensure the right people audit, approve, and manage the master data at the right time
  3. Compliance and audit support – Maintaining version control and change history improves transparency and helps ensure compliance
  4. Security and access – Role-based access and device specific setup helps to enforce security and yet, provide the right people with access.

SAP Master Data Governance also comes pre-built with the most common domains for SAP – Customer, Supplier, Material, Financials, Retail, and Technical assets. It also a rich set of domains that customers can implement such as country code, tax code, order type, bank code, currency code, department, channel, activity type, document type, etc.

With SAP Master Data Governance, companies can also implement and manage a federated master data (instead of a centralized one) where different teams own different domains. The central system manages the core while syndicating specific domains to other systems. This model provides flexibility to regional office or product units, while also ensuring central compliance and a single source of truth.

SAP Master Data Governance’s cloud edition goes further by providing a hub-and-spoke federation that can slowly help an organization migrate to a federated approach.

Overall, SAP’s MDM solution meets the goals of data strategy, a critical strength as companies’ data growth explodes.

95 results

  1. What You Need to Know About MDM-Portal Integration

    Reading time: 31 mins

    Explore the four methods—MDM Business Package, MDM Web Dynpro Configurator, MDM Web Services, and MDM Java API—from which you can choose to integrate SAP NetWeaver Master Data Management (SAP NetWeaver MDM) and SAP NetWeaver Portal. Learn how and when to implement the integration method that best addresses your business structure, and then take that integration…...…
  2. 4 SAP NetWeaver MDM Implementation Design Challenges Solved

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    Step through four common challenges that pop up during SAP NetWeaver Master Data Management implementations. Discover the ways to mitigate potential problems as well as tips for making optimal design decisions. Key Concept Data Manager is an out-of-the-box user interface delivered with SAP NetWeaver MDM. Experienced administrators with highly technical capabilities use it to manage…...…
  3. Data Quality Strategies for mySAP CRM

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    SAPexpert/CRMMany companies starting CRM initiatives are not satisfied with the resulting customer views, citing distrust of the data in their systems. Data quality strategies help you resolve data issues that distort customer views. Find out tips for preparing, blueprinting, and implementing a solid data quality strategy. Key Concept Identifying inconsistencies and anomalies in your data…...…
  4. American Standard Opens New Markets with SAP NetWeaver MDM

    Reading time: 10 mins

    ManagementMost Americans immediately recognize American Standard as a foremost brand name in toilets, sinks, faucets, fixtures, and other kitchen and bathroom products. However, the company’s efforts to become a household name in Mexico were hampered by an unreliable Web site and inefficient product data business processes. By building on an ongoing SAP NetWeaver Master Data…...…
  5. 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,…...…
  6. Centralized or Federated? Select the MDG Architecture Best Suited for Your Needs

    Reading time: 6 mins

    Compare SAP’s master data governance (MDG) architecture options and determine which is suitable for your project. The options work for both a centralized operating model and a federated operating model. Key Concept Master data governance (MDG) introduces controls over the data maintenance process, minimizes data quality issues, and eliminates redundant data. The IT operating model…...…
  7. Conditional Execution: Prevent Incorrect Data in Transactional Data Loads

    Reading time: 11 mins

    See how you can use conditional execution in your process chains to halt additional transactional data loads when you have outdated master data. Key Concept In SAP NetWeaver BI 7.0, the data transfer process (DTP) supports error handling for DataStore objects. The system sorts failed data load records and writes them to a temporary request-…...…
  8. An Insider’s Guide to SAP BusinessObjects and SAP NetWeaver BW: What Tools Should You Use Going Forward?

    Reading time: 17 mins

    Delve into the reporting and analysis tools available with SAP BusinessObjects and SAP NetWeaver BW. Find out when to use which tool, where to find it, and who should be the one using it. Learn which BEx tools SAP will continue to develop and which SAP BusinessObjects tools you should consider for your long-term reporting…...…
  9. 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…...…
  10. The Importance of Clean Master Data: MDM and Other Lessons Learned from an SFA Project

    Reading time: 13 mins

    In this excerpt from George Fratian’s new book from SAP PRESS, Planning Your SAP CRM Implementation, learn some tips to ensure that the master data you add to your new SAP CRM system is error free. Key Concept Although it is critical to manage your master data in all SAP projects, it is even more…...…