Wednesday, July 24, 2013 |
News Highlights
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Mark Giesbrecht
How agile data warehousing has
transformed CN's BI delivery environment.
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Stephen Swoyer
If this year's Strata conference
produced a deluge of Hadoop-related news items, last month's Hadoop
Summit upped the ante with lots of Hadoop goodies; dozens of vendors
made announcements to coincide with the two-day event.
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James Powell
Mac McConnell at Bonitasoft explains what a BPM tool can do and how to
avoid the biggest mistakes enterprises make in their BPM
projects.
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Lawrence Corr
How a Business Model Canvas and BI
Model Canvas can help accelerate your modeling work.
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The biggest factor influencing what the
average American eats is the margin the grocery store makes on the
products it sells -- and behind it all is data science.
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TDWI Webinar Series:
Speaker:
David Stodder
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Organizations today need to get ahead of
events so they can adjust decisions about resources, personnel, up-
sell and cross-sell offers, fraud and abuse detection, and more in
dynamic fashion. Analytics can play a key role in bringing
predictive insights to executives and managers. With these insights
coupled with continuous, real-time data views from business and
operational intelligence systems, organizations can be "proactive" -- that is, they can do more than just react after the fact to events
and market changes, and instead shape their own destiny. |
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Upcoming Webinars of Interest
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As user organizations dive deeper into
big data analytics, many are depending more heavily than ever on
SQL-based, ad hoc queries as their primary method for data
exploration and discovery analytics (sometimes called investigative
analytics). At the same time, the same organizations are adopting or
considering Hadoop as their primary storage platform for big data.
SQL-based analytics and Hadoop are good choices in isolation, but
bringing them together has a catch: Hadoop's support for queries is
minimal at the moment.
Speaker:
Philip Russom
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Register
Now
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Just a few years ago, big data was a
problem in terms of scaling up IT systems and discovering the
business value. Thanks to advances in vendor platforms and user
practices, most enterprises today consider big data an opportunity -- not a problem -- because they can mine and analyze it for valuable
business insight.
Speaker:
Philip Russom
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Register
Now
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Events Calendar
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