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	<title>Comments on: Vodafone and data warehousing: A translation of that abstract</title>
	<atom:link href="http://lancewiggs.com/2008/07/21/vodafone-and-data-warehousing-a-translation-of-that-abstract/feed/" rel="self" type="application/rss+xml" />
	<link>http://lancewiggs.com/2008/07/21/vodafone-and-data-warehousing-a-translation-of-that-abstract/</link>
	<description>NZ Internet, Media and Business</description>
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		<title>By: Lance Wiggs</title>
		<link>http://lancewiggs.com/2008/07/21/vodafone-and-data-warehousing-a-translation-of-that-abstract/#comment-10927</link>
		<dc:creator><![CDATA[Lance Wiggs]]></dc:creator>
		<pubDate>Mon, 28 Jul 2008 17:57:20 +0000</pubDate>
		<guid isPermaLink="false">http://elevatorfactoids.wordpress.com/?p=895#comment-10927</guid>
		<description><![CDATA[BI Strategist that quote refers to very different work in a very different field. 

That work is about turning around businesses. Specifically it was about how businesses can dramatically simplify their approach to improving their results. Not a database in sight.

It&#039;s a far cry from data mining and the like, but the the lesson of simplification or both focus and approach is true across both fields. 

Even at huge US Credit Card bank where a lot of the leading edge stuff was and is developed (Talk to the Homeland security guys now I suppose) the tools were less important than the thinking.]]></description>
		<content:encoded><![CDATA[<p>BI Strategist that quote refers to very different work in a very different field. </p>
<p>That work is about turning around businesses. Specifically it was about how businesses can dramatically simplify their approach to improving their results. Not a database in sight.</p>
<p>It&#8217;s a far cry from data mining and the like, but the the lesson of simplification or both focus and approach is true across both fields. </p>
<p>Even at huge US Credit Card bank where a lot of the leading edge stuff was and is developed (Talk to the Homeland security guys now I suppose) the tools were less important than the thinking.</p>
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		<title>By: BI Strategest</title>
		<link>http://lancewiggs.com/2008/07/21/vodafone-and-data-warehousing-a-translation-of-that-abstract/#comment-10920</link>
		<dc:creator><![CDATA[BI Strategest]]></dc:creator>
		<pubDate>Mon, 28 Jul 2008 09:47:13 +0000</pubDate>
		<guid isPermaLink="false">http://elevatorfactoids.wordpress.com/?p=895#comment-10920</guid>
		<description><![CDATA[I hope your current client is not asking for too much if that post demonstrates your understanding of BI and analytics technolgies... 

&quot;...and now helping out at level or two higher with some BI strategy work...&quot;]]></description>
		<content:encoded><![CDATA[<p>I hope your current client is not asking for too much if that post demonstrates your understanding of BI and analytics technolgies&#8230; </p>
<p>&#8220;&#8230;and now helping out at level or two higher with some BI strategy work&#8230;&#8221;</p>
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	<item>
		<title>By: Lance Wiggs</title>
		<link>http://lancewiggs.com/2008/07/21/vodafone-and-data-warehousing-a-translation-of-that-abstract/#comment-10893</link>
		<dc:creator><![CDATA[Lance Wiggs]]></dc:creator>
		<pubDate>Thu, 24 Jul 2008 01:13:10 +0000</pubDate>
		<guid isPermaLink="false">http://elevatorfactoids.wordpress.com/?p=895#comment-10893</guid>
		<description><![CDATA[Falafulu
thanks for the as always insightful comments. I had not heard of KXEN - my last really heavy duty experience was in the US at a huge credit card bank - and they were pretty wild users of straight SQL.]]></description>
		<content:encoded><![CDATA[<p>Falafulu<br />
thanks for the as always insightful comments. I had not heard of KXEN &#8211; my last really heavy duty experience was in the US at a huge credit card bank &#8211; and they were pretty wild users of straight SQL.</p>
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	<item>
		<title>By: Falafulu Fisi</title>
		<link>http://lancewiggs.com/2008/07/21/vodafone-and-data-warehousing-a-translation-of-that-abstract/#comment-10891</link>
		<dc:creator><![CDATA[Falafulu Fisi]]></dc:creator>
		<pubDate>Wed, 23 Jul 2008 08:33:29 +0000</pubDate>
		<guid isPermaLink="false">http://elevatorfactoids.wordpress.com/?p=895#comment-10891</guid>
		<description><![CDATA[I noted that Rachel Harrison is not a data mining analyst. In fact she is a statistician as far as I know. Most people confused between a statisticians and predictive modeling analyst (data-mining, machine learning, etc...) as the same thing. KXEN, SAS tools are more heavier towards predictive modeling / data-mining / machine learning  than statistics. Statistics is more of hypothesis testing (deductive) while predictive modeling / data-mining / machine learning is more of discovery (inductive) and tasks as &lt;i&gt;customer retention&lt;/i&gt; modeling is inductive, ie, to discover the retention pattern.]]></description>
		<content:encoded><![CDATA[<p>I noted that Rachel Harrison is not a data mining analyst. In fact she is a statistician as far as I know. Most people confused between a statisticians and predictive modeling analyst (data-mining, machine learning, etc&#8230;) as the same thing. KXEN, SAS tools are more heavier towards predictive modeling / data-mining / machine learning  than statistics. Statistics is more of hypothesis testing (deductive) while predictive modeling / data-mining / machine learning is more of discovery (inductive) and tasks as <i>customer retention</i> modeling is inductive, ie, to discover the retention pattern.</p>
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	<item>
		<title>By: Falafulu Fisi</title>
		<link>http://lancewiggs.com/2008/07/21/vodafone-and-data-warehousing-a-translation-of-that-abstract/#comment-10890</link>
		<dc:creator><![CDATA[Falafulu Fisi]]></dc:creator>
		<pubDate>Wed, 23 Jul 2008 08:23:32 +0000</pubDate>
		<guid isPermaLink="false">http://elevatorfactoids.wordpress.com/?p=895#comment-10890</guid>
		<description><![CDATA[&lt;i&gt;data warehousing techniques to drive customer retention.&lt;/i&gt;

Data warehousing is not a technique for analytics. It is a storage for  cleansed data to be used in data-mining. Data mining is the technique that drives predictive analytics.

I have to say that KXEN is perhaps the best predictive analytics vendor today (if not, they&#039;re definitely in the top 3).  I know (not personally) the KXEN  CTO and founder ERIK MARCADE where we were part of the industry expert group that drafted the JDM 2.0 (Java Data Mining version 2) specifications for the official Java technology. There were 2 members from SAS that also got involved in the expert group.

I have to say, that data-mining is huge today including its adoption by corporations for business intelligence applications such as &lt;i&gt;customer retention.&lt;/i&gt;]]></description>
		<content:encoded><![CDATA[<p><i>data warehousing techniques to drive customer retention.</i></p>
<p>Data warehousing is not a technique for analytics. It is a storage for  cleansed data to be used in data-mining. Data mining is the technique that drives predictive analytics.</p>
<p>I have to say that KXEN is perhaps the best predictive analytics vendor today (if not, they&#8217;re definitely in the top 3).  I know (not personally) the KXEN  CTO and founder ERIK MARCADE where we were part of the industry expert group that drafted the JDM 2.0 (Java Data Mining version 2) specifications for the official Java technology. There were 2 members from SAS that also got involved in the expert group.</p>
<p>I have to say, that data-mining is huge today including its adoption by corporations for business intelligence applications such as <i>customer retention.</i></p>
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		<title>By: Karol</title>
		<link>http://lancewiggs.com/2008/07/21/vodafone-and-data-warehousing-a-translation-of-that-abstract/#comment-10883</link>
		<dc:creator><![CDATA[Karol]]></dc:creator>
		<pubDate>Mon, 21 Jul 2008 19:00:19 +0000</pubDate>
		<guid isPermaLink="false">http://elevatorfactoids.wordpress.com/?p=895#comment-10883</guid>
		<description><![CDATA[LOL]]></description>
		<content:encoded><![CDATA[<p>LOL</p>
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