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	<title>datadoodle &#187; decisions</title>
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	<description>Where the humans meet analytics and related subjects</description>
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		<title>What&#8217;s that tool? It&#8217;s a macguffin, sir</title>
		<link>http://datadoodle.com/2011/03/24/whats-that-tool-its-a-macguffin/</link>
		<comments>http://datadoodle.com/2011/03/24/whats-that-tool-its-a-macguffin/#comments</comments>
		<pubDate>Thu, 24 Mar 2011 07:34:22 +0000</pubDate>
		<dc:creator>Ted Cuzzillo</dc:creator>
				<category><![CDATA[BI industry]]></category>
		<category><![CDATA[culture]]></category>
		<category><![CDATA[business decisions]]></category>
		<category><![CDATA[decisions]]></category>
		<category><![CDATA[fun]]></category>
		<category><![CDATA[macguffin]]></category>

		<guid isPermaLink="false">http://datadoodle.com/?p=1713</guid>
		<description><![CDATA[When will someone write the first novel about business intelligence? Easier said than done! ]]></description>
			<content:encoded><![CDATA[<p></p><p>
When, when will someone write a novel about business intelligence? I can see it now. Amazon will try to sell me <i>From Here to Analysis</i>, <i>Data in the Afternoon</i>, and <i>Lolita, DBA</i>.
</p>
<p>
But titles are easy. Writing the novel might be tough, since the author would have to run on sheer imagination. There&#8217;s no apparent intrigue. The BI crowd plays it safe. Forget sex. The BI crowd works too hard. Forget guns. The BI crowd shoots only bullet points.
</p>
<p>
In fact, the best strategy might be Alfred Hitchcock&#8217;s favorite: the macguffin. It&#8217;s a plot element, often ephemeral, that drives the main characters to do what they do regardless of the macguffin&#8217;s value. As the plot moves along, the macguffin fades into the background.
</p>
<p>
In BI, the most common mcguffin is technology &mdash; while the real issue is effective use of data in business decisions.
</p>
<p>
Remember &#8220;Psycho&#8221;? The woman steals money from her boss and flees. Her boss is sure to follow. We&#8217;re looking off in that direction when out of nowhere comes the shower scene. Holy crap! We never saw that one coming!
</p>
<p>
Hitchcock&#8217;s aim was fear, but McGuffins have other uses, too. In business intelligence, the macguffin creates comfort. In the BI plot, the shower scene is instead endless talk about technology, data quality, data this and data that. All the time, lurking in the culture, unexamined and feared, is classic business dysfunction. But leadership can&#8217;t fix it, so they go shopping.
</p>
<p>
What&#8217;s a novelist to do? Use it all. Study up on the technology for a week and interview people on the front lines. Then drape BI technology over a standard plot set in an enterprise.
</p>
<p>
Business people buy BI tools, and so they&#8217;ll buy the BI thriller.</p>
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		<item>
		<title>Bring in the shrinks for decision analysis</title>
		<link>http://datadoodle.com/2010/01/19/thinking-different-decision-analysis/</link>
		<comments>http://datadoodle.com/2010/01/19/thinking-different-decision-analysis/#comments</comments>
		<pubDate>Wed, 20 Jan 2010 02:59:15 +0000</pubDate>
		<dc:creator>Ted Cuzzillo</dc:creator>
				<category><![CDATA[BI industry]]></category>
		<category><![CDATA[trends]]></category>
		<category><![CDATA[decision analysis]]></category>
		<category><![CDATA[decisions]]></category>
		<category><![CDATA[prediction]]></category>
		<category><![CDATA[tdwi]]></category>
		<category><![CDATA[Wayne Eckerson]]></category>

		<guid isPermaLink="false">http://datadoodle.com/?p=1143</guid>
		<description><![CDATA[Now comes the hard part in business intelligence: figuring out how the humans can make better use of all our data and tools for decision making, writes Wayne Eckerson, director of TDWI Research. Let&#8217;s bring in the shrinks. When Wayne points to a trend, it&#8217;s news even if others might have already foreseen it. He&#8217;s [...]]]></description>
			<content:encoded><![CDATA[<p></p><p>Now comes the hard part in business intelligence: figuring out how the humans can make better use of all our data and tools for decision making, writes Wayne Eckerson, director of TDWI Research. Let&#8217;s bring in the shrinks.
</p>
<p>
When Wayne points to a trend, it&#8217;s news even if others might have already foreseen it. He&#8217;s one of the industry&#8217;s most thoughtful observers, and one of the most deliberate.
</p>
<p>
In Tuesday morning&#8217;s blog post, he suggests improving BI by enlisting those who study how people make decisions.
</p>
<blockquote>
<p>
To take BI to the next level, we need better insights into human behavior and perception. In other words, it&#8217;s time to recruit psychologists onto our BI teams.
</p>
</blockquote>
<p>
He gave an example of one place that could have benefited from visits to the shrink&#8217;s couch.
</p>
<blockquote>
<p>
A recent article in the Boston Globe called &#8220;Think Different, CIA&#8221; provides some instructive lessons for companies using BI tools to make decisions. The article describes a phenomenon that psychologists call &#8220;premature cognitive closure&#8221; to explain how humans in general, and intelligence analysts in particular, can get trapped by false assumptions, which can lead to massive intelligence failures. It turns out that humans over the course of eons have become great at filtering lots of data quickly to make sense of a situation. Unfortunately, those filters often blind us to additional evidence &mdash; or its absence &mdash; that would disprove our initial judgment or &#8220;theory.&#8221; In other words, humans rush to judgment and are blinded by biases. Of course, we all know this, but rarely do organizations implement policies and procedures to safeguard against such behaviors and prevent people from making poor decisions.
</p>
</blockquote>
<p>
See his <a href="http://portals.tdwi.org/Blogs/WayneEckerson/2010/01/Decision-Analysis.aspx">full post here</a>.
</p>
<p>
Be sure to see the comments, too. He writes in reply to questions, &#8220;Like data governance, we need some principles for approaching and managing decisions. Maybe we should start a decision governance institute!?&#8221;
</p>
<p>
I can&#8217;t help notice: an institute.
</p>
<p>
<i>See &#8220;<a href="http://datadoodle.com/2009/07/07/cias-insights-on-the-psychology-of-analysis/">CIA&#8217;s insights on the psychology of analysis</a>&#8221; </i> on Datadoodle.</p>
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		</item>
		<item>
		<title>You know it when they dance</title>
		<link>http://datadoodle.com/2009/11/17/you-know-it-when-they-dance/</link>
		<comments>http://datadoodle.com/2009/11/17/you-know-it-when-they-dance/#comments</comments>
		<pubDate>Tue, 17 Nov 2009 07:08:28 +0000</pubDate>
		<dc:creator>Ted Cuzzillo</dc:creator>
				<category><![CDATA[indicators]]></category>
		<category><![CDATA[decisions]]></category>
		<category><![CDATA[new york times]]></category>
		<category><![CDATA[Walter Murch]]></category>

		<guid isPermaLink="false">http://datadoodle.com/?p=1054</guid>
		<description><![CDATA[Here&#8217;s that eternal question again: how do you know when whatever you&#8217;re working on is good enough? Today, two perspectives. The Oscar-winning sound designer Walter Murch, speaking Friday night at the Rafael Film Center in San Rafael California, told about talking shop with Michael Jackson&#8217;s engineers. They told Murch that they had no special insight, [...]]]></description>
			<content:encoded><![CDATA[<p></p><p>
Here&#8217;s that eternal question again: how do you know when whatever you&#8217;re working on is good enough? Today, two perspectives.
</p>
<p>
The Oscar-winning sound designer Walter Murch, speaking Friday night at the Rafael Film Center in San Rafael California, told about talking shop with Michael Jackson&#8217;s engineers. They told Murch that they had no special insight, they just tried one mix after another as Jackson sat in the back, silent. They knew they had it right when he got up and danced.
</p>
<p>
The other way was the General Motors way. They took forever, and sometimes simply stopped trying when the bureaucracy&#8217;s deadline came. A recent <a href="http://www.nytimes.com/2009/11/13/business/13auto.html">New York Times article</a> explains why GM cars never made anyone want to dance, or at least not me.
</p>
<blockquote><p>
&#8220;We measured ourselves ten ways from Sunday &#8230; But as soon as everything is important, nothing is important.&#8221; [director of G.M.'s vehicle engineers]
</p>
<p>
Decisions were made, if at all, at a glacial pace, bogged down by endless committees, reports and reviews that astonished members of President Obama&#8217;s auto task force.
</p>
<p>
In the old G.M., any changes to a product program would be reviewed by as many as 70 executives, often taking two months for a decision to wind its way through regional forums, then to a global committee, and finally to the all-powerful automotive products board.
</p></blockquote>
<p>
Nobody lives forever, but make sure you dance while you can.</p>
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