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	<title>Comments on: Data Profiling For All The Right Reasons, Part 1</title>
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		<title>By: Data Profiling For All The Right Reasons, Part 3 &#171; Hub Designs Blog</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2790</link>
		<dc:creator><![CDATA[Data Profiling For All The Right Reasons, Part 3 &#171; Hub Designs Blog]]></dc:creator>
		<pubDate>Wed, 28 Jul 2010 11:02:12 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2790</guid>
		<description><![CDATA[[...] Part One, we took a light-hearted view of where profiling benefits an organization and in Part Two, we [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Part One, we took a light-hearted view of where profiling benefits an organization and in Part Two, we [...]</p>
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		<title>By: Data Profiling For All The Right Reasons, Part 2 &#171; Hub Designs Blog</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2789</link>
		<dc:creator><![CDATA[Data Profiling For All The Right Reasons, Part 2 &#171; Hub Designs Blog]]></dc:creator>
		<pubDate>Tue, 27 Jul 2010 11:04:49 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2789</guid>
		<description><![CDATA[[...] discussion is the second of a five-part series on data profiling. In Part 1, we discussed the project roles that benefit from data profiling and how better understanding [...]]]></description>
		<content:encoded><![CDATA[<p>[...] discussion is the second of a five-part series on data profiling. In Part 1, we discussed the project roles that benefit from data profiling and how better understanding [...]</p>
]]></content:encoded>
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	<item>
		<title>By: dataintegrity</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2521</link>
		<dc:creator><![CDATA[dataintegrity]]></dc:creator>
		<pubDate>Fri, 26 Feb 2010 19:13:02 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2521</guid>
		<description><![CDATA[Good post]]></description>
		<content:encoded><![CDATA[<p>Good post</p>
]]></content:encoded>
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	<item>
		<title>By: Data Profiling For All The Right Reasons, Part 5 &#171; Hub Designs Blog</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2461</link>
		<dc:creator><![CDATA[Data Profiling For All The Right Reasons, Part 5 &#171; Hub Designs Blog]]></dc:creator>
		<pubDate>Wed, 10 Feb 2010 18:31:42 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2461</guid>
		<description><![CDATA[[...] series, describing how data profiling benefits both IT projects and business operations.  In Part One, we discussed profiling perspectives.  In Parts Two, Three and Four, we introduced the value of [...]]]></description>
		<content:encoded><![CDATA[<p>[...] series, describing how data profiling benefits both IT projects and business operations.  In Part One, we discussed profiling perspectives.  In Parts Two, Three and Four, we introduced the value of [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Data Profiling For All The Right Reasons, Part 4 &#171; Hub Designs Blog</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2421</link>
		<dc:creator><![CDATA[Data Profiling For All The Right Reasons, Part 4 &#171; Hub Designs Blog]]></dc:creator>
		<pubDate>Thu, 28 Jan 2010 14:42:18 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2421</guid>
		<description><![CDATA[[...] Part One introduced different perspectives on data profiling. Part Two identified valuable system and entity metrics to track. Part Three discussed attributes. In this segment, we dive deeper into attribute relationships and pattern recognition. Also, we expand on primary key identification discussion and discuss hidden relationships. [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Part One introduced different perspectives on data profiling. Part Two identified valuable system and entity metrics to track. Part Three discussed attributes. In this segment, we dive deeper into attribute relationships and pattern recognition. Also, we expand on primary key identification discussion and discuss hidden relationships. [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Data Profiling For All The Right Reasons, Part 3 &#171; Hub Designs Blog</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2413</link>
		<dc:creator><![CDATA[Data Profiling For All The Right Reasons, Part 3 &#171; Hub Designs Blog]]></dc:creator>
		<pubDate>Mon, 25 Jan 2010 16:53:39 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2413</guid>
		<description><![CDATA[[...] Part One, we took a light-hearted view of where profiling benefits an organization and in Part 2, we [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Part One, we took a light-hearted view of where profiling benefits an organization and in Part 2, we [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Data Profiling For All The Right Reasons, Part 2 &#171; Hub Designs Blog</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2404</link>
		<dc:creator><![CDATA[Data Profiling For All The Right Reasons, Part 2 &#171; Hub Designs Blog]]></dc:creator>
		<pubDate>Mon, 18 Jan 2010 17:58:03 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2404</guid>
		<description><![CDATA[[...] discussion is the second of a five-part series on data profiling. In Part 1, we discussed the project roles that benefit from data profiling and how better understanding [...]]]></description>
		<content:encoded><![CDATA[<p>[...] discussion is the second of a five-part series on data profiling. In Part 1, we discussed the project roles that benefit from data profiling and how better understanding [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Dylan Jones</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2396</link>
		<dc:creator><![CDATA[Dylan Jones]]></dc:creator>
		<pubDate>Mon, 11 Jan 2010 20:25:07 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2396</guid>
		<description><![CDATA[Nice post Rob.

One line jumps out at me: &quot;...how to share our findings across business and project resources...&quot; - that is critical and for me goes way beyond the standard profiling stats we see.

The ability to transform raw stats into a business context is critical. For me where this gets exciting is when we merge this with other metadata, external metrics and other reference material, using a repository of relationships to weave a compelling story.

Really looking forward to the series, great intro.

- Dylan]]></description>
		<content:encoded><![CDATA[<p>Nice post Rob.</p>
<p>One line jumps out at me: &#8220;&#8230;how to share our findings across business and project resources&#8230;&#8221; &#8211; that is critical and for me goes way beyond the standard profiling stats we see.</p>
<p>The ability to transform raw stats into a business context is critical. For me where this gets exciting is when we merge this with other metadata, external metrics and other reference material, using a repository of relationships to weave a compelling story.</p>
<p>Really looking forward to the series, great intro.</p>
<p>- Dylan</p>
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	<item>
		<title>By: Jim Harris</title>
		<link>http://hubdesignsmagazine.com/2010/01/10/data-profiling-for-all-the-right-reasons-part-1/#comment-2395</link>
		<dc:creator><![CDATA[Jim Harris]]></dc:creator>
		<pubDate>Mon, 11 Jan 2010 17:50:04 +0000</pubDate>
		<guid isPermaLink="false">http://blog.hubdesigns.com/?p=1193#comment-2395</guid>
		<description><![CDATA[Excellent post Rob,

I really enjoyed the Jungian word association analysis for “data profiling.”

Jung was fond of the concept of collective unconsciousness, and data profiling can be viewed as a gateway to understanding the collective business mindset surrounding the enterprise&#039;s most critical data assets.

I am looking forward to reading the rest of the series.

Best Regards,

Jim]]></description>
		<content:encoded><![CDATA[<p>Excellent post Rob,</p>
<p>I really enjoyed the Jungian word association analysis for “data profiling.”</p>
<p>Jung was fond of the concept of collective unconsciousness, and data profiling can be viewed as a gateway to understanding the collective business mindset surrounding the enterprise&#8217;s most critical data assets.</p>
<p>I am looking forward to reading the rest of the series.</p>
<p>Best Regards,</p>
<p>Jim</p>
]]></content:encoded>
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