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<title><![CDATA[Xu Cheng]]></title>
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<title><![CDATA[Business Analytics]]></title>
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<pubDate>Mon, 30 Nov 2009 21:35:23 EST</pubDate>
<description><![CDATA[Business analytics can be defined as the extensive use of data, statistics, and modeling to make or better understand past events and better predict future events. Business analytics may include predictive analytics, business intelligence, human performance management, data visualization, and many other subjects. Though analytics have always been a part of the business toolbox, technology advances allow greater analysis of larger and more diverse data sets.]]></description>
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<title><![CDATA[Business Intelligence]]></title>
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<pubDate>Mon, 30 Nov 2009 21:33:39 EST</pubDate>
<description><![CDATA[Data Warehousing Institute defines business intelligence as the processes, technologies, and tools needed to turn data into information, information into knowledge, and knowledge into plans that drive profitable business action. This topic covers data warehousing, business analytic tools, and content/knowledge management.]]></description>
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