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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!