Crisis Response: 6 Ways Big Data Can Help - InformationWeek

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9/17/2015
07:06 AM
Lisa Morgan
Lisa Morgan
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Crisis Response: 6 Ways Big Data Can Help

Whether naturally occurring or man-made, crises and disasters bring chaos to the people in their path. Learn how governments, nonprofits, and businesses are using big data and analytics to respond in fast, efficient ways.
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(Image: Tpsdave via Pixabay)

(Image: Tpsdave via Pixabay)

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pfretty494
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pfretty494,
User Rank: Moderator
9/28/2015 | 2:38:48 PM
Perspective
I love the array of uses cases. Finding business parallels could prove quite powerful as IT leaders work to build the stakeholder acceptance and support. Obvioulsy most organizations do not have the same level of issues, but I am sure most could relate these issues to stakeholder worries. For instance, recall issues.  Great post. Peter Fretty, IDG blogger working on behalf of SAS.  
HM
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HM,
User Rank: Moderator
9/21/2015 | 4:31:34 PM
Nice uses!
Lisa, great Big Data use cases! Many uses of big data have a measurable positive impact on outcomes and productivity. Areas such as record linkage, graph analytics deep learning and machine learning have demonstrated being critical to help in the operational ways you mention as well as to fight crime, reduce fraud, waste and abuse in the tax and healthcare systems, combat identity theft and fraud, and many other aspects that help society as a whole. It is worth mentioning the HPCC Systems open source offering which provides a single platform that is easy to install, manage and code. The built-in analytics libraries for Machine Learning and integration tools with Pentaho for great BI capabilities make it easy for users to analyze Big Data. The free online introductory courses allow for students, academia and other developers to quickly get started. For more info visit: hpccsystems.com

 
DanaW792
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DanaW792,
User Rank: Apprentice
9/21/2015 | 10:24:36 AM
These are important examples of Information Management but not necessarily examples of "Big Data"
We were doing these kinds of data collection, integration, store and analysis of large amounts of data long before the term "Big Data" began to be used. "Big Data" is something very specific and the term has been developed in order to describe something very specific. I couldn't find that specific "Big Data" aspect in any of these examples, although a couple of them might be "Big Data' apps. 
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