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	<title>Comments on: Data, Analysis, Insight</title>
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	<link>http://blog.jimnovo.com/2007/11/19/data-analysis-insight/</link>
	<description>Moving from a Low Accountability to a High Accountability Business Model</description>
	<pubDate>Tue,  7 Oct 2008 20:30:43 +0000</pubDate>
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		<title>By: Jim Novo</title>
		<link>http://blog.jimnovo.com/2007/11/19/data-analysis-insight/#comment-10796</link>
		<dc:creator>Jim Novo</dc:creator>
		<pubDate>Mon, 19 Nov 2007 19:50:21 +0000</pubDate>
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		<description>Ron S, at the heart of your issue somewhere is the question of whose responsibility it is to make analysis actionable. Some analysts feel their role continues on into execution, others feel they're done at the analysis - which is a shame, I think. Fortunately, this is much less common in web analytics than in BI because the analyst is often the executioner - er, person / part of the team that takes action.

In BI, often what happens is the analyst gives the Marketer "exactly what they asked for", which often doesn't make any sense and is headed for failure to begin with. Whether the analyst knows this and actually acts on it is a matter of culture - many have faced the "when I want your opinion I'll ask for it" response when challenging ideas and are reluctant to comment. Others simply don't know enough about the business to form an opinion on actionability.

Ron P, I wonder if anybody has ever studied the real accuracy of online demographic information? There's lot's of anecdotal stuff around, but I wonder...if I took a segment of visitors, say Male 18 - 24, I wonder how many of them would actually be Males 18 - 24? And what would that say about using demos for online segmentation?</description>
		<content:encoded><![CDATA[<p>Ron S, at the heart of your issue somewhere is the question of whose responsibility it is to make analysis actionable. Some analysts feel their role continues on into execution, others feel they&#8217;re done at the analysis - which is a shame, I think. Fortunately, this is much less common in web analytics than in BI because the analyst is often the executioner - er, person / part of the team that takes action.</p>
<p>In BI, often what happens is the analyst gives the Marketer &#8220;exactly what they asked for&#8221;, which often doesn&#8217;t make any sense and is headed for failure to begin with. Whether the analyst knows this and actually acts on it is a matter of culture - many have faced the &#8220;when I want your opinion I&#8217;ll ask for it&#8221; response when challenging ideas and are reluctant to comment. Others simply don&#8217;t know enough about the business to form an opinion on actionability.</p>
<p>Ron P, I wonder if anybody has ever studied the real accuracy of online demographic information? There&#8217;s lot&#8217;s of anecdotal stuff around, but I wonder&#8230;if I took a segment of visitors, say Male 18 - 24, I wonder how many of them would actually be Males 18 - 24? And what would that say about using demos for online segmentation?</p>
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		<title>By: Ron Patiro</title>
		<link>http://blog.jimnovo.com/2007/11/19/data-analysis-insight/#comment-10786</link>
		<dc:creator>Ron Patiro</dc:creator>
		<pubDate>Mon, 19 Nov 2007 19:21:54 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jimnovo.com/2007/11/19/data-analysis-insight/#comment-10786</guid>
		<description>Jim,

Thanks for the follow through!  I particularly like how you framed the common hang up of "faulty segmentation logic" being aided by the disconnect in marketing information (Deconstruction of Marketing ).  I see a lot of truth in that.  I also couldn't agree with you more that demographics do NOT indicate online behavior.</description>
		<content:encoded><![CDATA[<p>Jim,</p>
<p>Thanks for the follow through!  I particularly like how you framed the common hang up of &#8220;faulty segmentation logic&#8221; being aided by the disconnect in marketing information (Deconstruction of Marketing ).  I see a lot of truth in that.  I also couldn&#8217;t agree with you more that demographics do NOT indicate online behavior.</p>
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		<title>By: Ron Shevlin</title>
		<link>http://blog.jimnovo.com/2007/11/19/data-analysis-insight/#comment-10785</link>
		<dc:creator>Ron Shevlin</dc:creator>
		<pubDate>Mon, 19 Nov 2007 19:13:33 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jimnovo.com/2007/11/19/data-analysis-insight/#comment-10785</guid>
		<description>I wouldn't be so quick to blame the "analysis" for not being actionable. In my experience, it's the analyst who doesn't connect the dots to MAKE IT actionable. 

Why does this happen (so often)? I don't think it has anything to do w/ the capabilities of the analyst. I think it's an all-too-common bias on the part of analysts to focus on, or search for,  that "killer insight" -- that "AHA!" moment when the stars align and the heavens part to shine a light on the great mysteries of the world. 

Lest anyone think I'm pointing fingers at others, no way -- been guilty of this way too many times myself.</description>
		<content:encoded><![CDATA[<p>I wouldn&#8217;t be so quick to blame the &#8220;analysis&#8221; for not being actionable. In my experience, it&#8217;s the analyst who doesn&#8217;t connect the dots to MAKE IT actionable. </p>
<p>Why does this happen (so often)? I don&#8217;t think it has anything to do w/ the capabilities of the analyst. I think it&#8217;s an all-too-common bias on the part of analysts to focus on, or search for,  that &#8220;killer insight&#8221; &#8212; that &#8220;AHA!&#8221; moment when the stars align and the heavens part to shine a light on the great mysteries of the world. </p>
<p>Lest anyone think I&#8217;m pointing fingers at others, no way &#8212; been guilty of this way too many times myself.</p>
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