Data Warehousing with CONNX
Session Information
Other Information Resources
Session Overview
Data Warehousing is an information management strategy that
emphasizes consolidating data into a repository primarily for
data standardization, centralized reporting, and
strategic-advantage trend analysis. The technology
research and consulting firm Meta Group Inc. estimates that
90% of the Fortune 1000 companies have a data warehouse in
place as of January 1999. This comes in spite of other
reports that companies spend an average of three to five
million dollars per data warehouse project, and of those 75%
fail or are never implemented.
For organizations considering to build or revamp their data
warehousing strategies, you should realize how CONNX can
contribute to the extraction, conversion, standardization,
reporting - and success of your data warehouse
projects. This session will provide you with an
overview of data warehousing strategies such as enterprise
data warehousing, data marts, and Business Intelligence, and
then present how CONNX can help make your project a success.
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Who Should Attend?
CIOs and IT Managers who have been asked by their Business
Executives to provide a business intelligence infrastructure
that is both responsive and responsible.
Power Users and Business Technologists who will utilize
CONNX and the data warehouse to develop meaningful,
business-oriented, and timely information to the
organization's decision-makers.
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Methodologies
This session can be held in a boardroom or informal
one-on-one forum. In either case, attendee participation and
interaction is heartily encouraged. Training materials and
instruction will be provided to each attendee for review
during and following the session.
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Principles You Will Understand
by Completing this Session
Upon completion of this session, you will have a clear
understanding of the following topics:
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Different principles and strategies involved in
Enterprise Data Warehouses, Data Marts, and Business
Intelligence Solutions.
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Why data warehousing projects fail.
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Appreciate how CONNX can reduce the risk, simplify the
implementation, and be scaled as the size of the data
warehouse increases.
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