'MDM and CDI for a Global Enterprise' authors discuss trends, ROI |
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| 08 May 2007 | SearchDataManagement.com |
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Master data management (MDM) and customer data integration (CDI) are popular industry buzzwords -- but implementing these kinds of programs can be complex and challenging, according to many experts and end users.
SearchDataManagement.com talked to Alex Berson and Larry Dubov, authors of Master Data Management and Customer Data Integration for a Global Enterprise (McGraw-Hill Osborne Media, May 2007). They have firsthand experience implementing MDM, CDI and information management programs, particularly in the financial services, pharmaceutical and healthcare industries.
In the 30-minute podcast, appropriate for both business and technical audiences, listeners will:
- Hear the authors' definitions of MDM and CDI, and learn more about the business benefits.
- Find out how organizations are handling the MDM ROI question and building business cases.
- Get inside information about MDM and CDI implementation trends -- and learn how to avoid costly mistakes.
- Learn low-cost actions that organizations can take to prepare for future MDM and CDI programs.
About the authors: Alex Berson is director and fellow at BearingPoint Inc., a McLean, Va.-based management consulting firm. He is an internationally recognized expert, thought leader, author and educator in various areas of information technologies. He has held key positions at BearingPoint, Entrust, Merrill Lynch, Dun & Bradstreet and PricewaterhouseCoopers. Larry Dubov is a senior manager at BearingPointInc. a McLean, Va.-based management consulting firm. He is an internationally recognized expert, thought leader, and veteran practitioner in the implementation of complex, business-driven technology solutions and enterprise information management programs. The list of his clients includes established banks, financial services, insurance and pharmaceutical companies.
| Data Discussion Podcast: MDM and CDI for a Global Enterprise authors discuss trends, ROI | |
Alex Berson and Larry Dubov, authors of Master Data Management and Customer Data Integration for a Global Enterprise, discuss trends, ROI and costly mistakes.
3:30 -- The authors' definitions of MDM and CDI.
5:16 -- Refuting skeptic's claims that MDM is all "hype."
7:05 -- The potential business benefits of MDM-CDI.
9:25 -- How organizations deal with the ROI of MDM.
22:16 -- Words of warning about costly MDM-CDI mistakes.
25:15 -- Low-cost ways to prepare for MDM-CDI.
27:12 -- Current MDM-CDI implementation trends
| For more on master data management and customer data integration | |
- Find out how Gartner and Forrester recommend evaluating master data management and customer data integration software
To combat confusion, Forrester and Gartner released frameworks for evaluating master data management technology. They say no one tool can solve all master data management problems.
- Learn seven master data management best practices
Master data management's early adopters share best practices and potential pitfalls.
- Get more information on building a business case for master data management
When you want funding for master data management (MDM), it's all in how you ask.
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| For more data management podcasts |
| Check out the SearchDataManagement podcast library, featuring podcasts about master data management, data quality, data integration, business intelligence and more |
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- Listen to a podcast about master data management trends with Ventana Research CEO Mark Smith
A survey revealed new information about master data management in the enterprise. Ventana Research's Mark Smith discusses how early adopters are using master data management.
- Learn more about customer data integration, in this podcast featuring expert Jill Dyché
In this podcast, we explore the ins and outs of customer data integration, from the technology to the business considerations, with CDI expert Jill Dyché.
- Find out more about Gartner's recommendations for structuring data governance programs
Gartner predicts that 90% of organizations will fail at their first attempts at data governance. An analyst outlines a data governance structure that includes checks and balances.
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