Wednesday, August 14, 2013 |
News Highlights
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Stephen Swoyer
It used to be that if you asked any
random group of business intelligence (BI) administrators to list
the biggest challenges to BI success, data quality issues would come
out on top. This isn't necessarily the case anymore. Meanwhile, BI
programs continue to founder on other, largely avoidable problems --
issues that (in some cases) they've been talking about addressing
for a decade or more now.
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Linda Briggs
Patient queries have dropped from
minutes to seconds as top-rated Seattle Children's Hospital -- with
350,000 patients annually -- turns to big data and analytics. Wendy
Soethe, manager of enterprise data warehouse and business
intelligence at the top-rated hospital, explains.
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Scott Jarr
In the world of big data, it's logical
that the market continues to push for ever-faster analytics.
However, the true benefit comes when enterprises combine analytics
in real-time with automated decisions on that data.
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James Powell
How is NoSQL different from other
databases? What about scalability and reliability of databases and
how quick can they come online? We take a close look at several
important aspects of today's database technology with Sam Bisbee, director of technical business development at Cloudant.
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Jack Norris
Hadoop will not replace relational
databases or traditional data warehouse platforms, but its superior
price/performance ratio can help organizations lower costs while
maintaining their existing applications and reporting
infrastructure. How should your enterprise get started?
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This white paper examines how leading
healthcare executives are preparing their organizations for the
future of healthcare and offers results from SAS research that
reveal five strategic imperatives. It also explores how analytics
can play a role to ensure success. (Short registration required for
those downloading from TDWI for the first time.)
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TDWI Webinar Series:
Speaker:
Philip Russom
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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. |
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Upcoming Webinars of Interest
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Self-service BI is becoming increasingly
popular as business users demand more control over their analytical
assets and IT continues to be strapped by budget and resource
constraints. Many information workers now expect to be able to
interact with information and create their own views to address
pressing business issues. At the same time, BI teams would like to
offload report and analytics creation duties to users and focus on
more value-added activities.
Speaker:
Claudia Imhoff
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Register
Now
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Why predictive analytics now? Many
companies use BI to get a better understanding of what has already
happened in their business -- a backward-looking view. Although this
can be somewhat useful, organizations can gain real value by
harnessing their valuable corporate data to understand why something
is happening now, and more important, what's likely to happen
next.
Speaker:
Claudia Imhoff
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Register
Now
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Events Calendar
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