White Papers

White Paper Download

Many of the challenges to master data management (MDM) are organizational and collaborative issues—not technical ones. Luckily, many of MDM's challenges can be remedied by a well-designed and mature program for data governance (DG). In fact, MDM can suffer without DG's processes for collaboration, stewardship, and change management. DG programs are usually founded on a strong mandate, which it can share with MDM to provide much-needed executive sponsorship and a business case. Furthermore, an MDM program won't get far without ample collaboration, and a mature DG program is inherently collaborative, providing processes for cross-functional cooperation and coordination with other data disciplines, especially data integration and quality. DG's collaborative process can help get MDM past many roadblocks. There are good technology and business reasons why master data management needs data governance. This TDWI Checklist Report drills into seven of these reasons as well as use cases and organizational situations where DG and MDM work well together.

Have a SAS profile? Log in to pre-fill the form.

*  First Name
*  Last Name
*  E-mail Address
* Organization/Company
* Industry
* Job Title
*  Country
(Required for Canada and U.S.)
* Business Phone
Yes, I would like to opt-in to receive occasional emails from SAS and its affiliates
about SAS events, free white papers, special offers on training and publications, etc.
All personal information will be handled in accordance with the SAS Privacy Statement.

( * indicates required field )