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<description>lillymark&#39;s bookmarks tagged &quot;predicting&quot; on Netvouz</description>
<item><title>Customer Analytics to Predict &amp; Simplify</title>
<link>http://247-inc.com/intuitive-consumer-experience/anticipate-simplify-learn</link>
<description>247 Inc.’s customer analytics, reinvents customer service by providing a smarter customer service. Our software platform leverages big data analytics to provide more effective multi channel customer service and predict online customers journey.</description>
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<author>lillymark</author>
<pubDate>Mon, 27 Aug 2012 05:29:30 GMT</pubDate>
</item><item><title>P.V. Kannan | Our vision is to make customer interaction fun</title>
<link>http://www.livemint.com/2012/04/20212439/PV-Kannan--Our-vision-is-to.html</link>
<description>Bangalore: P.V. Kannan is CEO and co-founder of 24/7 Inc., a predictive analytics-led customer service firm based in the US that boasts top banks, credit card companies and airlines as clients.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Thu, 17 May 2012 07:13:37 GMT</pubDate>
</item><item><title>Predicting Customer Interactions</title>
<link>http://247-inc.com/platform/PX-Architecture</link>
<description>Predicting customer interactions has never been simpler. 247’s predictive analytics solution coordinates customer interactions across all channels &amp; automates successfully customer journeys. PX automatically improve the experience with each interaction.</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Fri, 07 Sep 2012 12:17:33 GMT</pubDate>
</item><item><title>Predictive Analytics for Predicting Customer Interactions</title>
<link>http://247-inc.com/platform/PX-Architecture</link>
<description>The Predictive Experience (PX) platform from [24]7 is the predictive analytics solution that automates customer journeys across all major self-service channels. PX automatically learns from each interaction to improve the experience for the next interaction</description>
<category domain="http://netvouz.com/lillymark?category=5038404302206526589"></category>
<author>lillymark</author>
<pubDate>Fri, 30 Nov 2012 10:50:44 GMT</pubDate>
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