Data governance and architecture are the topics covered in this week's newsletter.
Last month, Dan Linstedt began his series on governance and data integration, and he continues that discussion this week. In Basics of Governance and Data Integration, Part II, Dan defines data governance and describes the process, roles and responsibilities for successful data governance.
In the second article, What is Architecture, I outline the elements of architecture and explain how they have been included in DW 2.0, the architecture for the next generation of data warehousing.
I encourage you to use the Business Intelligence Network as your premier source for information pertaining to business intelligence, performance management, data warehousing and information quality.
Basics of Governance and Data Integration, Part II
by Dan Linstedt
Data governance encompasses the people, corporate processes and procedures that ensure data value, quality improvement, single shared definitions and availability at the right time to the right people.
What is Architecture
by Bill Inmon
DW 2.0, the architecture for the next generation of data warehousing, is designed to meet the information needs of the entire corporation.
Presenting Enterprise Information Management – Delivering Business Intelligence You Can Trust
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A Radical Concept: Leverage ALL Your Data for Competitive Advantage
May 2 at 2 p.m. ET
Learn how a sound data management strategy enables you to leverage all your data and how a data warehouse appliance can make your data actionable. Join Jill Dyché, Dan Feshbach and Ellen Rubin for this terabyte-sized seminar.
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Eliminate Doubt and Build Confidence in Data with Enterprise Information Management
May 17 at 12 p.m. ET
How committed is your organization when it comes to managing information? Author and consultant Jill Dyché examines the role enterprise information management (EIM) plays in business intelligence. Join us to learn why an organized framework around data management is necessary for business intelligence success.
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