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	<title>Comments on: US Banks Rated for Identity Theft</title>
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	<link>http://emergentchaos.com/archives/2008/02/us-banks-rated-for-identity-theft.html</link>
	<description>The Emergent Chaos Jazz Combo</description>
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		<title>By: Alexandre Carmel-Veilleux</title>
		<link>http://emergentchaos.com/archives/2008/02/us-banks-rated-for-identity-theft.html/comment-page-1#comment-4402</link>
		<dc:creator>Alexandre Carmel-Veilleux</dc:creator>
		<pubDate>Thu, 28 Feb 2008 13:26:44 +0000</pubDate>
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		<description>&lt;p&gt;Whenever comparing data like this, the biggest challenge is to normalize the data in useful ways.&lt;/p&gt;
&lt;p&gt;Fraud per billion $ in deposit for example will likely over-represents retail banks (BoA/MBNA, the largest MasterCard issuer, being the poster child) and under-represents banks that cater to smaller markets and/or market segments with few wealthier customers.&lt;/p&gt;
&lt;p&gt;Clearly the Fraud per billion $ in deposit metric attempts to factor in the financial impacts of the banks by assuming some proportionality in fraud size vs. bank size. Without accounting for mean/median customer size, financial impact is not modeled very accurately.&lt;/p&gt;
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		<content:encoded><![CDATA[<p>Whenever comparing data like this, the biggest challenge is to normalize the data in useful ways.</p>
<p>Fraud per billion $ in deposit for example will likely over-represents retail banks (BoA/MBNA, the largest MasterCard issuer, being the poster child) and under-represents banks that cater to smaller markets and/or market segments with few wealthier customers.</p>
<p>Clearly the Fraud per billion $ in deposit metric attempts to factor in the financial impacts of the banks by assuming some proportionality in fraud size vs. bank size. Without accounting for mean/median customer size, financial impact is not modeled very accurately.</p>
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