Master Data Management

Large enterprises run many applications to support operational and business services. These applications store data on business entities such as customers and products. Although the management of this data traditionally has been aligned with operational applications, organizations now see the value in consolidating common data entities to gain business insights from these valuable assets.

To gain operational efficiencies and analytical insights from the data, organizations must clearly define business entities and their associated attributes and integrate data from disparate systems in a timely and consistent manner. MDM initiatives require a dedicated data governance effort to coordinate the people, processes and technologies to deliver a single, unified view of enterprise data.

Components of Master Data Management

• SAS MDM Advanced – Provide a unified view of data assets for more accurate analytic results, effective operations and enhanced decision making.

How SAS^® Is Different

• Evolutionary approach to MDM. Begin with data quality and data integration and use industry best practices and professional services to create a low-risk approach to MDM implementation.
• Data quality and entity resolution. Data quality is a critical success factor for MDM initiatives. One of the key capabilities of our approach is the ability to integrate disparate data from source systems to create a clean, correct entity in the MDM repository. This is achieved through entity resolution and the base capabilities of data quality (such as parsing, standardization, matching, de-duplication, etc.).
• Data governance. An MDM solution requires operational governance and stewardship services that support inspection, root-cause analysis, data correction and the creation and management of business rules that control the quality and usability of data. MDM capabilities from SAS provide tools designed to empower business analysts and data stewards to design and implement business glossaries, reference data structures and business rules through a collaborative, Web-based environment.
• Domain data models. To create a unified view of master data, there must be a database of each unique business entity within the organization. The master entity database is central to the solution. However, to accelerate delivery, prebuilt data models can be used and customized to the specific needs of your enterprise.