IBM has become a major player in the master data management (MDM) technology market through the acquisitions of Ascential, DWL and Trigo, as well as development of new products like the IBM Information Server. SearchDataManagement.com caught up with Paraic Sweeney, vice president of products, master data systems at IBM to learn more about Big Blue's strategy in the MDM tools market. In this podcast, appropriate for both business and technical level users, Sweeney discusses:
- How IBM defines MDM, what Big Blue means by "collaborative MDM" and why it takes more than technology to solve master data problems
- Which vertical markets IBM thinks can really benefit from MDM
- Real-world examples of how IBM's customers use MDM tools
- Differences between MDM deployment styles and why IBM recommends the "hub" rather than the "registry" approach
- An overview of IBM's short- and long-term MDM roadmap and the role it thinks that that service oriented architectures will play in deployments
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- Get more insight on how to evaluate master data management technologies from
analysts at Gartner and Forrester
To combat confusion, Forrester and Gartner released frameworks for evaluating master data management technology. They say that no one tool can solve all master data management problems.
- Read about seven master data management best practices
Master data management's early adopters share best practices and potential pitfalls.
- Find out how to get started with master data management
Expert Cliff Longman explains what you need to know before embarking on a master data management (MDM) initiative.
- Learn how to build a business case for MDM -- and read about how one IBM customer
successfully implemented a program
When you want funding for master data management (MDM), it's all in how you ask.
This was first published in December 2006