Wednesday, September 11, 2013 |
News Highlights
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James Powell
For two decades, Barb Wixom has been
investigating how companies deliver value from BI, and she has
discovered an important characteristic that separates the real
winners in BI: a business-driven approach.
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Lyndsay Wise
How to ensure a successful deployment
of BI self-service solutions.
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Stephen Swoyer
During a presentation at the Pacific
Northwest BI Summit, BI Research founder Colin White offered
attendees a provocative glimpse into his technology crystal ball.
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A discussion of two types of widespread
analytic handicaps: individuals affected by poor analytics and
government or corporate analytic failure negatively impacting
millions of people.
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TDWI Webinar Series:
Speaker:
Philip Russom
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Most business intelligence (BI)
implementations query data that is historical, representing business
processes that have already completed. Even so called real-time BI
reports are generated using historical data. Although this view of
data has some value, it does not represent the complete picture.
Fully informed business decisions require real-time insight into
high-volume streaming data sources, current events, and ongoing
business processes. |
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Upcoming Webinars of Interest
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Can business analysts effectively use
predictive analytics? Adoption of predictive analytics and other
advanced analytics has increased for a number of reasons, including
a better understanding of the value of the technology and the
availability of computing power. Economic factors are also a driving
force in utilizing predictive analytics for business as companies
strive to remain competitive. Companies want to better understand
customer behavior. They want to better predict failures in their
infrastructure. The uses for predictive analytics are extensive and
growing.
Speaker:
Fern Halper
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Register
Now
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Hub-and-spoke patterns have long been the
preferred architecture for data and application integration
technologies because hubs provide an easily understood design,
reduce the number of interfaces required, foster reuse, and control
data centrally for the purposes of optimization, data standards, and
governance. However, there's a new generation of data integration
hub coming that even nontechnical users can employ to publish data,
so that other users can easily subscribe to that data and bring it
into their applications with minimal involvement from IT.
Speaker:
Philip Russom
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Register
Now
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Events Calendar
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