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Virtual data marts add
flexibility, security and scalability to Pfizer’s
rigorous drug development process. |
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Baseline
Informed decisions bolster our corporate
success at every stage of drug discovery, development,
manufacturing and distribution. That’s crucial for
Pfizer, which works on an average of a hundred potential
commercial drug projects annually, with five typically
culminating in delivery to market each year.
When
Pfizer Research Fellow Dr. Michael Linhares and his team
introduced a data integration framework in January 2008,
it had to accommodate the company’s rigorous drug
development process. Here, Linhares discusses the
teamwork that led to the creation of virtual data marts,
which were designed to incorporate maximum adaptability
into a necessarily rigid, standards-based
framework. |
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WEBINAR: Solving Data Integration
Challenges in a Net-Centric World |
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Wednesday,
March 25, 2009
2:00pm EST |
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Data
virtualization is critical in dynamic
enterprises where business change necessitates
rapid IT response, data volumes and complexities
are high, and resources are constrained.
Register now for this important Webinar to
discover how the DoD has embarked on a path to
implement SOA, delivering increased capability
throughout the agency. Also, learn about the
latest insights, best practices, and technology
innovations that can help you manage your
enterprise data. |
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Presenters: |
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Dennis
E. Wisnosky
Chief Architect and
Chief Technology Officer
Department of
Defense, Business Mission Area |
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George
"Chip" Raymond
Chief Technology
Officer,
Army Programs
Computer
Sciences Corporation |
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Introducing Composite Software’s
Weekly Webinar Series |
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Each week, we
will host a webinar to discuss various topics
surrounding Data Virtualization and data
integration. Topics range from basic overview of
the concept of data virtualization, to customer
case studies, to special related technologies,
to assessing ROI and value around data
virtualization. Please visit the list of
upcoming webinars frequently and sign up for one
that matches your interest. |
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White Paper: “Maximizing the Business Value
of Data Virtualization” |
| In
“Maximizing the Business Value of Data Virtualization,”
Leading BI/DI Analyst Mike Ferguson Recommends How to
Get Greater Returns from Existing Data Assets |
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| This paper looks
at the main components of data virtualization, and
defines popular usage patterns to maximize the value
from data virtualization software. |
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| Written for data
and enterprise architects, data warehouse teams,
integration competency centers and BI teams, Ferguson’s
paper defines 10 popular data virtualization use
patterns, using descriptions and diagrams. In addition,
Ferguson cites common use cases for each pattern, and
includes the reasons and rationale for selecting each
pattern. |
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| “Data
Virtualization software offers a lot of flexibility,”
said Ferguson. “My paper documents the most popular uses
of this technology to help developers and business users
exploit that flexibility and get the most out of their
investment in data virtualization.” |
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| Finally it looks
at how data virtualization software from one supplier,
Composite Software, supports these patterns. |
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White Paper:
Customer Value Framework |
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| Composite
Software is committed to helping you maximize the value
of your Composite data virtualization implementations.
The Composite Software Customer Value Program helps
participating customers prospectively estimate business
and IT value from your use of Composite solutions, as
well as demonstrate and communicate value actually
achieved to the appropriate internal and external
constituents. The program includes expert staff who work
with members of your team to calculate and communicate
value as well as a Customer Value Framework that
provides structured tools, methods and
deliverables. |
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| For Composite
prospects and customers who must measure and demonstrate
value, this paper introduces the Composite Customer
Value Framework and Customer Value Program engagement
approach. |
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Getting the Most Out of BI in a Tough
Economy |
| Intelligent
Enterprise |
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| The
economic recession will force many organizations to cut
IT costs, but the one area where belt tightening can
lead to better efficiency is in business
intelligence. |
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| The value
of BI becomes more apparent in tough economic climates,
when smart information and knowledge management
professionals use the technology as a corporate asset to
continue to survive, compete and thrive, according to a
recent report by Forrester Research. |
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| So rather
than across the board cuts, Forrester recommends a more
targeted approach of BI consolidation and optimization,
as well as an evaluation to see if lower-cost technology
alternatives will do. "These approaches can enable you
to do more with less, leading to a win-win scenario that
contribute to both your top and bottom lines," said the
report, entitled "BI Belt Tightening In A Tough Economic
Climate" and written by analyst Boris Evelson. |
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| The full
Forrester report is available on the Forrester website
at no charge. Registration with the site is
required. |
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Exploring a ‘Deep Web’ That Google Can’t
Grasp |
| New York
Times |
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| The challenges that the
major search engines face in penetrating the so-called
Deep Web go a long way toward explaining why they still
can’t provide satisfying answers to questions like
“What’s the best fare from New York to London next
Thursday?” The answers are readily available – if only
the search engines knew how to find them. |
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| Now a new breed of
technologies is taking shape that will extend the reach
of search engines into the Web’s hidden corners. When
that happens, it will do more than just improve the
quality of search results – it may ultimately reshape
the way many companies do business online. |
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Virtual Versus Physical Data Integration:
How to Decide |
| Information Management |
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| “If all you
have is a hammer, everything looks like a nail.” Barnard
Baruch’s quote resonates in IT organizations that often
find themselves solving new problems with their old
reliable tools even when more appropriate new tools may
exist. |
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| This truism
especially applies when it comes to choosing data
integration (DI) methods. Physical data consolidation –
the combining of related data into a common physical
store using ETL tools – is like a familiar, reliable
hammer. Data virtualization is like a screwdriver. Which
will be the most useful to solve a problem? Like their
toolbox counterparts, both are indispensable for solving
different DI problems. The challenge to IT comes in
deciding early in the design cycle which tool best fits
the job. |
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