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	<title>Comments on: DemandTec Explains How It Keeps Big Data on Target</title>
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	<link>http://gigaom.com/2010/06/21/demandtec-explains-how-it-keeps-big-data-on-target/</link>
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		<title>By: Michel. M</title>
		<link>http://gigaom.com/2010/06/21/demandtec-explains-how-it-keeps-big-data-on-target/#comment-744882</link>
		<dc:creator><![CDATA[Michel. M]]></dc:creator>
		<pubDate>Fri, 09 Dec 2011 06:03:00 +0000</pubDate>
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		<description><![CDATA[»»»» #Retail #ERP #Analytics »»»» #DemandTec Explains How It Keeps Big Data on Target &#124; Tech News and Analysis  http://t.co/HkEX7JbJ]]></description>
		<content:encoded><![CDATA[<p>»»»» #Retail #ERP #Analytics »»»» #DemandTec Explains How It Keeps Big Data on Target | Tech News and Analysis  <a href="http://t.co/HkEX7JbJ" rel="nofollow">http://t.co/HkEX7JbJ</a></p>
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		<title>By: Shop Savvy Wants Better Ads and Smarter Retailers: Tech News &#171;</title>
		<link>http://gigaom.com/2010/06/21/demandtec-explains-how-it-keeps-big-data-on-target/#comment-497409</link>
		<dc:creator><![CDATA[Shop Savvy Wants Better Ads and Smarter Retailers: Tech News &#171;]]></dc:creator>
		<pubDate>Tue, 02 Nov 2010 22:30:32 +0000</pubDate>
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		<description><![CDATA[[...] the basket into the two stores that have the lowest prices on a set of products. Retailers are already using data to get consumers to buy more, or buy higher margin goods, so it would be a nice change to see consumers using that same [...]]]></description>
		<content:encoded><![CDATA[<p>[...] the basket into the two stores that have the lowest prices on a set of products. Retailers are already using data to get consumers to buy more, or buy higher margin goods, so it would be a nice change to see consumers using that same [...]</p>
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		<title>By: IBM To Buy Netezza for $1.7 Billion: Cloud &#171;</title>
		<link>http://gigaom.com/2010/06/21/demandtec-explains-how-it-keeps-big-data-on-target/#comment-279841</link>
		<dc:creator><![CDATA[IBM To Buy Netezza for $1.7 Billion: Cloud &#171;]]></dc:creator>
		<pubDate>Mon, 20 Sep 2010 13:37:07 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=127992#comment-279841</guid>
		<description><![CDATA[[...] has been selling an appliance focused on data warehousing analytics and is finding a lot of traction with its products, mostly because most corporations are trying to find ways to make better sense of [...]]]></description>
		<content:encoded><![CDATA[<p>[...] has been selling an appliance focused on data warehousing analytics and is finding a lot of traction with its products, mostly because most corporations are trying to find ways to make better sense of [...]</p>
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		<title>By: Humayun Akhtar</title>
		<link>http://gigaom.com/2010/06/21/demandtec-explains-how-it-keeps-big-data-on-target/#comment-255326</link>
		<dc:creator><![CDATA[Humayun Akhtar]]></dc:creator>
		<pubDate>Mon, 05 Jul 2010 11:39:45 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=127992#comment-255326</guid>
		<description><![CDATA[&lt;p&gt;Excellent article ! Next generation of shopper insights.  Now big retailers are on the path to embrace true shopper-centric category management.  With the availability and successful integration of more diverse data streams, shopper insights will be more granular and action oriented.  Retailers taking a lead in embedding these insigths into their planning process will reap the benefits and a sustained competitive advantage.  Humayun Akhtar&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>Excellent article ! Next generation of shopper insights.  Now big retailers are on the path to embrace true shopper-centric category management.  With the availability and successful integration of more diverse data streams, shopper insights will be more granular and action oriented.  Retailers taking a lead in embedding these insigths into their planning process will reap the benefits and a sustained competitive advantage.  Humayun Akhtar</p>
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