Wednesday, January 14, 2015 |
News Highlights
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Linda Briggs
Gathering the requirements for a BI
project requires moving at the speed of business (that is, very
quickly) while remaining flexible and accepting that the first pass
won't be perfect. In this first part of a two-part interview,
Jonathan Geiger of Intelligent Solutions explains how to hone your
requirements-gathering approach.
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Jason Levesque
Although voters and consumers may often
act the same, the analytics used to examine their behavior is vastly
different.
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Stephen Swoyer
What is data wrangling and why does it
matter? Think of it as data preparation taken to the next level. To
learn more, we turned to data-wrangling upstart Trifacta.
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James E. Powell
How can you measure the success of your
enterprise data warehouse initiative? Ralph Hughes has devised a
concise set of seven factors to evaluate.
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TDWI Webinar Series:
Speaker:
Philip Russom
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Learn why operational data stores need to
be modernized and how some users are doing it, as well as how ODSs
still support data warehouse architectures as well as new approaches
to advanced analytics, data archiving, data lakes, and enterprise
data hubs. Russom will explain how Hadoop makes a highly scalable
and cost-effective platform for ODSs, especially when compared to
traditional relational databases, and he'll discuss how you can
industrialize the data integration process for a data hub. |
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Upcoming Webinars of Interest
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Learn more about the TDWI Analytics
Maturity Model and Assessment Tool and hear preliminary results from
the assessment. Co-authors Fern Halper and David Stodder will lead a
lively discussion with the sponsors of the assessment about how to
improve an organization analytics maturity and the state of BI and
analytics today.
Speaker:
Fern Halper and David Stodder
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Register
Now
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Events Calendar
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