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DAMA DAY - 2005
Thu., Sep. 22, 2005
New York,
NY
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SEMINAR:
Achieving Operational and Process-Centric
BI
Host: Keith
Gile,
Principal Analyst,
Forrester
Research
Cognos and Composite
Executives
Tue., Oct. 18, 2005
8:00-9:00 am
ET
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SEMINAR: Data
Convergence - Optimizing Data
Infrastructures
Host: Jeffrey
Brashear, MD, BearingPoint FS
Jim Green,
CEO,
Composite Software
James Markarian, SVP
& CTO, Informatica
Wed., Oct. 19,
2005
5:30-8:00 pm ET
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EII
Provides Timely Information During Drug Development
Process |
Bio-IT
World
Life sciences organizations need
accurate and timely information to make drug development
decisions. But understanding, linking, and leveraging
all the sources of data across an organization is a
constant challenge. And the needs and challenges are
likely to become increasingly important as the industry
moves toward more multi-disciplinary research efforts
and as more information collected about drug safety
(from development through trials) is shared throughout
an organization. |
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Composite Server to be Embedded into
BMC Products |
eBizQ
BMC
Software has licensed the Composite Information Server
for incorporation into BMC Software products, including
BMC Performance Manager and BMC Atrium. The relationship
with Composite will benefit BMC Software customers by
improving their visibility and performance in
large-scale environments. |
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Integration Theory, Part
1 |
DM Review
This
article is meant to expound upon the area of integration
relating to the government sector. Any solution chosen
should work across various integration technologies
(EAI, EII and ETL) to create a homogenous data
infrastructure. |
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Enterprise Information Integration: A
Pragmatic Approach |
DM Review
If
you're looking for greater productivity in your
organizations to increase net profits, integration can
help you gain control over your data. EII is an approach
to integration that has arisen out the need for
organizations to identify and correlate related, but
separate, data. It can be performed on an
as-needed-basis, continually delivering value of the
current system in a production-level manner, while
meeting the needs of the users for new data structures
and applications. |
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