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	<title>Mohit Sewak &#187; Data Mining</title>
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		<title>Profiting From Data Mining</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/bi/data-mining/profiting-data-mining/</link>
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		<pubDate>Mon, 11 Jan 2010 14:10:54 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Apeoplens]]></category>
		<category><![CDATA[Bullock Taguchi]]></category>
		<category><![CDATA[Bullock Taguchimethod of data mining]]></category>
		<category><![CDATA[Bullocks]]></category>
		<category><![CDATA[CA]]></category>
		<category><![CDATA[Customer churn]]></category>
		<category><![CDATA[Data mining is 1.85 bn$ industry]]></category>
		<category><![CDATA[Direct marketing]]></category>
		<category><![CDATA[Fraud detection]]></category>
		<category><![CDATA[IBM]]></category>
		<category><![CDATA[Interactive marketing]]></category>
		<category><![CDATA[Microsoft]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Profiting From Data Mining]]></category>
		<category><![CDATA[Richard Mouser]]></category>
		<category><![CDATA[SAS]]></category>
		<category><![CDATA[trend Analysis]]></category>
		<category><![CDATA[Uses of Data Mining]]></category>

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Profiting From Data Mining



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Richard Mouser was spending $85 per sale on ad costs for his website. After using Bullock’s Taguchi method of data mining where he tested headers, subheaders, site copy and sent test pages to customers, he was able to reduce his advertising cost to $8 per sale and sales numbers have gone up [...]]]></description>
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		<title>Diamonds in Data Mines: Data Mining Digs In</title>
		<link>http://mohit.sewak.in/marketing/database-marketing/diamonds-in-data-mines/</link>
		<comments>http://mohit.sewak.in/marketing/database-marketing/diamonds-in-data-mines/#comments</comments>
		<pubDate>Sat, 09 Jan 2010 19:29:56 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[CRM]]></category>
		<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Database Marketing]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Alexa internet]]></category>
		<category><![CDATA[Amazon]]></category>
		<category><![CDATA[Building strong customer relations]]></category>
		<category><![CDATA[Clustering customers]]></category>
		<category><![CDATA[Data Mining Digs In]]></category>
		<category><![CDATA[Diamonds in Data Mines]]></category>
		<category><![CDATA[Fingerhut]]></category>
		<category><![CDATA[Hyperparallel]]></category>
		<category><![CDATA[Preparing data for data mining]]></category>
		<category><![CDATA[Success Stories with Data Mining]]></category>
		<category><![CDATA[Yahoo]]></category>

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Diamonds in Data Mines
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Data Mining Digs In


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Recently Farmer&#8217;s Insurance group with the help of IBM pulled 2 million policies from its database to run a pilot test using IBM’s Decision Edge software.
They found that apart from young 20 something single guys, married boomers with kids also bought sports cars. They paid same insurance surcharges but [...]]]></description>
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