Products & Solutions / Master Data Management

SAS® MDM Advanced

Provide a unified view of data assets for more accurate analytics results and enhanced decision making

To increase revenue, it's critical to know who your customers are, what they purchase and how to sell more to them. You also need to know what you're spending on materials across all business units to control costs. Master data management (MDM) is the creation of a single, accurate and unified view of corporate data. SAS MDM Advanced allows you to streamline and standardize data, forming a central data repository that enables consistent, uniform control of data across the enterprise.

Benefits

  • Improve revenue generation through more profitable customer relationships and a streamlined supply chain.
  • Enhance customer support and service.
  • Create a sustainable MDM initiative with a phased approach.
  • Provide unified, trusted data for use in SAS solutions.
  • Make informed, fact-based decisions using timely data that spans operational applications.
  • Reduce risk by creating and applying a single set of business rules.

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Features

  • Best-in-class data quality and data management capabilities
  • Multiple-domain data models
  • Master data repository: hub loading and maintenance
  • Browser-based data governance and data stewardship console
  • Entity resolution and matching
  • Survivorship
  • Batch and real-time deployment
  • Business glossary creation and management
  • Reference data structure creation and management

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Easily control the master data hub with a role-based, metadata-driven interface.


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How SAS® Is Different

  • Built on best-in-class data quality technology. MDM from SAS incorporates award-winning data quality capabilities to cleanse, correct, standardize and de-duplicate data before it enters the master data repository. Integrated data quality technology makes it easier to create a master data hub with data that is high quality and fit for purpose.
  • Ability to easily integrate and match data from many different data sources. With the ability to integrate data from multiple sources, MDM from SAS can take data from different sources and feed it into the master data repository. This maintains data quality and pushes updated information back into the original data sources.
  • Provides an agile approach to MDM. SAS offers the flexibility to develop a phased approach to implementing MDM on an enterprise scale. You can start with one domain (for example, customers) and over time add other business entities to create a consolidated view of all critical information.
  • Easily integrates with other SAS solutions. Combining master data management capabilities with SAS Analytics yields the most accurate business analytics possible. Other MDM products do no not offer a solution that is highly optimized for integration into business analytics.

Benefits

  • Improve revenue generation through more profitable customer relationships and a streamlined supply chain. Linking operational systems provides consolidated customer profile and activity information that enables businesses to identify additional cross-sell, up-sell and product bundling opportunities. More unified data on products, inventory and assets helps companies identify areas to increase efficiencies and reduce costs across the supply chain.
  • Enhance customer support and service. A unified view of customers and other entities enables businesses to optimize all customer interactions, including sales opportunities, customer support, billing and more.
  • Create a sustainable MDM initiative with a phased approach. By building off the strength of the data quality and data integration solutions from SAS, organizations from every industry are able to use industry best practices and professional services to create a low-risk approach to MDM implementation.
  • Provide unified, trusted data for use in SAS solutions. Augment your SAS investment by ensuring that high-quality reference data serves as the foundation for business analytics solutions such as SAS Customer Intelligence, SAS Fraud Management, SAS Risk Management and others.
  • Make informed, fact-based decisions using timely data that spans operational applications. Creating a unified view of customers, suppliers, products and other entities allows reliable linking to core operational systems and provides a consolidated view of each entity. This results in more accurate and complete data for use in predictive analytics, which leads to improved, fact-based decision making.
  • Reduce risk by creating and applying a single set of business rules. Unified and consistent data is needed to meet risk objectives. MDM from SAS provides governance capabilities necessary for compliance, including validation, integrity controls, audit trails and lineage information.

Features

Best-in-class data quality and data management capabilities
  • Standardize and rationalize data during the MDM data life cycle with capabilities that include:
    • Data access.
    • Data profiling.
    • Data quality, including address verification, data enrichment, standardization, parsing, etc.
    • Data matching, linking and householding.
    • Business rule monitoring.
Multiple-domain data models
  • Create master data domains for party (citizen, customer, student, patient, etc.), organization, site, supplier, product, asset or other data elements:
    • Identify and centralize key core reference data.
    • Grow from batch-oriented maintenance to real-time application integration through SOA.
Master data repository: hub loading and maintenance
  • Customize data models and transformation/hub-loading processes for common entities
    (person, organization, location, etc.).
  • Support for hub loading and maintenance processes with:
    • Out-of-the-box models that are extensible and user-created models that can be easily and seamlessly integrated with other models.
    • Built-in data quality functionality such as address verification, standardization, parsing, etc.
    • Entity matching, source system record linking, cross-referencing and best-record creation.
    • Data-rule monitoring.
    • Historical tracking with changes saved for contributing records and best records.
    • Initial load and incremental transformation/load capabilities.
Browser-based data governance and data stewardship console
  • Control the master data hub, as well as the processes and workflows that govern the creation of master data, through an intuitive, business-focused interface that lets you:
    • Search and display entities.
    • Add, modify and retire entities and hierarchies.
    • Create new hierarchies and modify them.
    • Perform entity resolution and survivorship tasks with clusters of entities.
    • Manage access to attribute content by role, allowing only authorized individuals to view sensitive attribute content.
    • Manage metadata for entities, attributes and transformations.
    • View dynamic and batch reports.
    • Support the consistent maintenance and use of master data attributes through a common data model and centralized data maintenance and access processes.
    • Ensure ongoing conformance with rules and quality using data profiling and business-rule monitoring.
Entity resolution and matching
  • Create and maintain the master record using a patented data-matching engine.
Survivorship
  • Validate master data representation through entity resolution, best-record selection and editing, and the creation of a universal identifier.
Batch and real-time deployment
  • Import data, service inquiries and searches into the hub through batch or real-time (service-oriented architecture) interfaces.
Business glossary creation and management
  • Create and manage a glossary of business terms using a Web-based interface.
  • Graphically explore business terms and categories.
  • View relationships across elements.
  • Use audit trails to know what data was changed and who changed it.
  • Store and apply definitions to guide all data management processes.
  • Reuse, manage and report on the use of a single glossary.
  • Safeguard sensitive or protected information through read-only access to glossary content data.
Reference data structure creation and management
  • Store and manage different types of hierarchies using a Web-based interface.
  • Identify, profile and validate reference data from any source system.
  • Integrate accurate and reliable reference data.
  • Maintain and manage history and date changes from a single interface.
  • Create and manage business rules across processes.
  • Integrate business terms and glossaries defined in the Business Data Network.
  • Create enterprisewide standards for data quality at an attribute level.

Screenshots

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Easily control the master data hub with a role-based, metadata-driven interface.

A role-based, metadata-driven user interface enables data stewards and business analysts to easily manage multiple data domains, view the contributing records used to create the "best record" of an entity and develop multiple-entity hierarchies using streamlined drag-and-drop capabilities.

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Manage and view multiple data domain entities.

Manage and view multiple master data domain entities, including but not limited to: product, supplier, person, organization, household and policy master data.

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Visualize your master data using dynamic reporting capabilities.

Integrated batch and dynamic reporting enables data stewards, business analysts and other users to drill into master data and identify, diagnose and resolve data quality issues.

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Use the interface to create and modify entities as well as generate and publish associated SOA-enabled jobs.

Data administrators can create new entities and modify existing entities with the same simplified and consistent interface. They can also generate and publish associated SOA-enabled jobs for creating, editing and managing the master data over its entire life cycle.

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Administer processes and workflows with an embedded workflow engine.

An embedded, state-based workflow engine allows for flexible business process choreography.

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System Requirements

For system requirements information, please contact your local SAS representative.

Ready to learn more?

Call us at 1-800-727-0025 (US and Canada) or request more information.