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	<title>Comments on: Good big data, bad big data</title>
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		<title>By: Barb Darrow</title>
		<link>http://gigaom.com/2012/07/20/good-big-data-bad-big-data/#comment-868280</link>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
		<pubDate>Tue, 24 Jul 2012 16:48:45 +0000</pubDate>
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		<description><![CDATA[@michael the truth about big data ramifications probably lies in the middle. But as usual, most benefits will accrue to the haves vs. the have-nots. For freakiness, ck out the allegations of former NSA officials about what the government&#039;s big data initiative is enabling in terms of snooping on private citizens: 

http://gigaom.com/cloud/does-the-nsa-have-a-file-on-you-probably]]></description>
		<content:encoded><![CDATA[<p>@michael the truth about big data ramifications probably lies in the middle. But as usual, most benefits will accrue to the haves vs. the have-nots. For freakiness, ck out the allegations of former NSA officials about what the government&#8217;s big data initiative is enabling in terms of snooping on private citizens: </p>
<p><a href="http://gigaom.com/cloud/does-the-nsa-have-a-file-on-you-probably" rel="nofollow">http://gigaom.com/cloud/does-the-nsa-have-a-file-on-you-probably</a></p>
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		<title>By: Michael Olson</title>
		<link>http://gigaom.com/2012/07/20/good-big-data-bad-big-data/#comment-867875</link>
		<dc:creator><![CDATA[Michael Olson]]></dc:creator>
		<pubDate>Mon, 23 Jul 2012 17:27:24 +0000</pubDate>
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		<description><![CDATA[Good summary, Barb.  To me, the most significant power brokers in this debate are companies like Experian, which already possess a wealth of offline data about consumers and are now augmenting their stores with online data sets.  That said, I do think that the resurgence of web technology since 2003/04 may help democratize the landscape and improve accessibility to &quot;big data&quot; among brands and mid-market companies.  

For example, there is a wealth of technology vendors that specialize in building predictive algorithms based on multiple online data types (clickstream, transaction data, etc.).  Not to mention a category of technology vendors that conduct semantic analysis of social data streams to make sense of large sets of unstructured data.  While dedicated data management platforms (DMPs) often charge a fortune for their services, the aforementioned technology vendors offer price points for their software that is amenable to the mid-market, thus making big data insights accessible beyond the power brokers.

Michael Olson
Janrain.com]]></description>
		<content:encoded><![CDATA[<p>Good summary, Barb.  To me, the most significant power brokers in this debate are companies like Experian, which already possess a wealth of offline data about consumers and are now augmenting their stores with online data sets.  That said, I do think that the resurgence of web technology since 2003/04 may help democratize the landscape and improve accessibility to &#8220;big data&#8221; among brands and mid-market companies.  </p>
<p>For example, there is a wealth of technology vendors that specialize in building predictive algorithms based on multiple online data types (clickstream, transaction data, etc.).  Not to mention a category of technology vendors that conduct semantic analysis of social data streams to make sense of large sets of unstructured data.  While dedicated data management platforms (DMPs) often charge a fortune for their services, the aforementioned technology vendors offer price points for their software that is amenable to the mid-market, thus making big data insights accessible beyond the power brokers.</p>
<p>Michael Olson<br />
Janrain.com</p>
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