Wednesday, August 07, 2013 |
News Highlights
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Fern Halper
How deploying a multiplier effect model
can help spread analytics throughout your organization.
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Mike Schiff
Why enterprises must have contingency
plans for their data before moving to the cloud.
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Stephen Swoyer
Try as they might, organizations
haven't been able to push BI adoption beyond a quarter of its work
force. JasperSoft's Karl van den Bergh has a theory about this
dilemma and suggests a commonsense solution.
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Max T. Russell
The dynamics of professional
servanthood put the IT department in a position of increased
effectiveness.
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Learn how solid data governance
practices help healthcare providers identify and track an individual
patient and improve patient outcomes. This paper illustrates how a
successful data governance program can harness the energy of
disparate IT initiatives and focus on the ultimate goal of patient-
centric care. (Short registration required for those downloading
TDWI resources for the first time)
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From an information security
perspective, big data can mean "big exposure" to risk if approached
solely from a traditional IT perspective. (Courtesy gcn.com)
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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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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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Events Calendar
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