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Using Embedded Business Intelligence and Analytics for Near-Real-Time Decisions and Actions
by Judith R. Davis, Colin White
Published: June 3, 2008
This report describes the evolution of and the business case for embedded business intelligence (BI) analytics, key features and functions of an embedded BI solution, and the experiences of several
companies that have implemented such solutions.
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About the Authors
Judith R. Davis -
Judith R. Davis is a leading researcher and expert with more than 30 years of experience in the business application of information technology. Her current focus is business intelligence and
related products and technologies to optimize decision-making across the enterprise. Judy has functioned as both a consultant and analyst and has worked extensively with enterprises, end users and
major vendors. She has also authored many articles, research studies and white papers for major industry media organizations and leading technology providers. She may be contacted by email at
jrdavis1@verizon.net.
Colin White -
Colin is the founder and president of BI Research. He is well known for his in-depth knowledge of business intelligence, data management and data
integration technologies and how they can be used for supporting smart and agile decision making. With 40 years of IT experience, he has consulted for dozens of companies throughout the world and
is a frequent speaker at leading IT events. Colin has written numerous articles and papers on deploying new and evolving information technologies for business benefit and is a regular contributor
to several leading print- and web-based industry journals, including the BeyeNETWORK. Colin may be contacted by sending an email to
info@bi-research.com .
Editor's note: More articles, resources, news and events are available in Colin's BeyeNETWORK Expert Channel. Be sure to visit
today!
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