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	<title>Comments for Data Value Talk</title>
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	<description>Customer data is a valuable asset. Why not treat it that way?</description>
	<lastBuildDate>Wed, 14 Sep 2011 10:47:07 +0000</lastBuildDate>
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		<title>Comment on 200 years of family names by Esther Labrie</title>
		<link>http://datavaluetalk.com/data-quality/200-years-of-family-names/#comment-0</link>
		<dc:creator>Esther Labrie</dc:creator>
		<pubDate>Wed, 14 Sep 2011 10:47:07 +0000</pubDate>
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		<description>test comment</description>
		<content:encoded><![CDATA[<p>test comment</p>
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		<title>Comment on What customers don&#8217;t want you to know by Data Governance</title>
		<link>http://datavaluetalk.com/data-governance/what-customers-dont-want-you-to-know/#comment-2578</link>
		<dc:creator>Data Governance</dc:creator>
		<pubDate>Mon, 14 Mar 2011 06:54:57 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=282#comment-2578</guid>
		<description>&lt;a href=&quot;http://www.amitechsolutions.com&quot; rel=&quot;nofollow&quot;&gt;Data Governance &lt;/a&gt; is a process and structure for formally managing information as a resource and ensures that the appropriate people representing business processes, data and technology are involved in the decision-making.</description>
		<content:encoded><![CDATA[<p><a href="http://www.amitechsolutions.com" rel="nofollow">Data Governance </a> is a process and structure for formally managing information as a resource and ensures that the appropriate people representing business processes, data and technology are involved in the decision-making.</p>
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		<title>Comment on Data Quality Analysis – It requires a bit of all worlds by Tweets that mention Data Quality Analysis – It requires a bit of all worlds « Data Value Talk -- Topsy.com</title>
		<link>http://datavaluetalk.com/data-quality/data-quality-analysis-%e2%80%93-it-requires-a-bit-of-all-worlds/#comment-2225</link>
		<dc:creator>Tweets that mention Data Quality Analysis – It requires a bit of all worlds « Data Value Talk -- Topsy.com</dc:creator>
		<pubDate>Thu, 17 Feb 2011 08:33:33 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=1711#comment-2225</guid>
		<description>[...] This post was mentioned on Twitter by Human Inference, eobjects.org. eobjects.org said: DQA requires a bit of all worlds! http://lnkd.in/QE_nyj http://lnkd.in/2qkG5v [...]</description>
		<content:encoded><![CDATA[<p>[...] This post was mentioned on Twitter by Human Inference, eobjects.org. eobjects.org said: DQA requires a bit of all worlds! <a href="http://lnkd.in/QE_nyj" rel="nofollow">http://lnkd.in/QE_nyj</a> <a href="http://lnkd.in/2qkG5v" rel="nofollow">http://lnkd.in/2qkG5v</a> [...]</p>
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		<title>Comment on We have 180 million names! Which one is right? by Winfried van Holland</title>
		<link>http://datavaluetalk.com/data-quality/we-have-180-million-names-which-one-is-right/#comment-2209</link>
		<dc:creator>Winfried van Holland</dc:creator>
		<pubDate>Tue, 15 Feb 2011 05:08:32 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=1692#comment-2209</guid>
		<description>You hit the nail with your question. That&#039;s the point I want to make if you face 180 million person records. How to gather the right ones - tackle the mismatches and avoid missed matches. 
At first we compare it with knowledge gathered already since years (we&#039;re celebrating our 25th anniversary this year!), but still that is not the complete answer. 
Another thing we are using is the active feedback loop. Customers and their users can actively add or delete names from the knowledge and we count the actual use of a name in the products and use that to calculate a kind of certainty feeling on a name.</description>
		<content:encoded><![CDATA[<p>You hit the nail with your question. That&#8217;s the point I want to make if you face 180 million person records. How to gather the right ones &#8211; tackle the mismatches and avoid missed matches.<br />
At first we compare it with knowledge gathered already since years (we&#8217;re celebrating our 25th anniversary this year!), but still that is not the complete answer.<br />
Another thing we are using is the active feedback loop. Customers and their users can actively add or delete names from the knowledge and we count the actual use of a name in the products and use that to calculate a kind of certainty feeling on a name.</p>
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		<title>Comment on We have 180 million names! Which one is right? by Tweets that mention We have 180 million names! Which one is right? « Data Value Talk -- Topsy.com</title>
		<link>http://datavaluetalk.com/data-quality/we-have-180-million-names-which-one-is-right/#comment-2205</link>
		<dc:creator>Tweets that mention We have 180 million names! Which one is right? « Data Value Talk -- Topsy.com</dc:creator>
		<pubDate>Mon, 14 Feb 2011 13:21:46 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=1692#comment-2205</guid>
		<description>[...] This post was mentioned on Twitter by Henrik L. Sørensen, Human Inference. Human Inference said: #DataQuality Blog We have 180 million names! Which one is right? http://ow.ly/1bkh2J [...]</description>
		<content:encoded><![CDATA[<p>[...] This post was mentioned on Twitter by Henrik L. Sørensen, Human Inference. Human Inference said: #DataQuality Blog We have 180 million names! Which one is right? <a href="http://ow.ly/1bkh2J" rel="nofollow">http://ow.ly/1bkh2J</a> [...]</p>
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		<title>Comment on We have 180 million names! Which one is right? by Simon Bates</title>
		<link>http://datavaluetalk.com/data-quality/we-have-180-million-names-which-one-is-right/#comment-2204</link>
		<dc:creator>Simon Bates</dc:creator>
		<pubDate>Mon, 14 Feb 2011 13:17:02 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=1692#comment-2204</guid>
		<description>When does purification in your tools become over-zealous and &#039;corrects&#039; genuine differences? What is the closed-loop feedback in the system?</description>
		<content:encoded><![CDATA[<p>When does purification in your tools become over-zealous and &#8216;corrects&#8217; genuine differences? What is the closed-loop feedback in the system?</p>
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		<title>Comment on First Time Right  &#8211; The customer perspective by Simon Bates</title>
		<link>http://datavaluetalk.com/data-quality/first-time-right-the-customer-perspective/#comment-2146</link>
		<dc:creator>Simon Bates</dc:creator>
		<pubDate>Tue, 11 Jan 2011 14:20:17 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=1620#comment-2146</guid>
		<description>I would imagine that the answer to your question partly depends on what MDM strategy is in place. If, for example, there are multiple places to create customer records: the website, the CRM system, the ERP system, the support system and so on, then there will be a need to search across all these systems.</description>
		<content:encoded><![CDATA[<p>I would imagine that the answer to your question partly depends on what MDM strategy is in place. If, for example, there are multiple places to create customer records: the website, the CRM system, the ERP system, the support system and so on, then there will be a need to search across all these systems.</p>
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		<title>Comment on First Time Right  &#8211; The customer perspective by Tweets that mention First Time Right – The customer perspective « Data Value Talk -- Topsy.com</title>
		<link>http://datavaluetalk.com/data-quality/first-time-right-the-customer-perspective/#comment-2144</link>
		<dc:creator>Tweets that mention First Time Right – The customer perspective « Data Value Talk -- Topsy.com</dc:creator>
		<pubDate>Tue, 11 Jan 2011 10:45:46 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=1620#comment-2144</guid>
		<description>[...] This post was mentioned on Twitter by Daragh O Brien. Daragh O Brien said: RT @humaninference: #DataQuality Blog First Time Right The customer perspective http://ow.ly/1aOGWS [...]</description>
		<content:encoded><![CDATA[<p>[...] This post was mentioned on Twitter by Daragh O Brien. Daragh O Brien said: RT @humaninference: #DataQuality Blog First Time Right The customer perspective <a href="http://ow.ly/1aOGWS" rel="nofollow">http://ow.ly/1aOGWS</a> [...]</p>
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		<title>Comment on First Time Right  &#8211; The customer perspective by Tweets that mention First Time Right – The customer perspective « Data Value Talk -- Topsy.com</title>
		<link>http://datavaluetalk.com/data-quality/first-time-right-the-customer-perspective/#comment-2143</link>
		<dc:creator>Tweets that mention First Time Right – The customer perspective « Data Value Talk -- Topsy.com</dc:creator>
		<pubDate>Tue, 11 Jan 2011 10:24:30 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=1620#comment-2143</guid>
		<description>[...] This post was mentioned on Twitter by Bisnode Interact. Bisnode Interact said: RT @humaninference blog post on Data Value Talk: First Time Right - The customer Perspective #DataQuality - http://bit.ly/dEVFhY [...]</description>
		<content:encoded><![CDATA[<p>[...] This post was mentioned on Twitter by Bisnode Interact. Bisnode Interact said: RT @humaninference blog post on Data Value Talk: First Time Right &#8211; The customer Perspective #DataQuality &#8211; <a href="http://bit.ly/dEVFhY" rel="nofollow">http://bit.ly/dEVFhY</a> [...]</p>
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		<title>Comment on World Languages Day &#8211; Linguistic diversity rules in Switserland! by Diversity in Data Quality in 2010 &#171; Liliendahl on Data Quality</title>
		<link>http://datavaluetalk.com/data-quality/world-languages-day-linguistic-diversity-rules/#comment-2084</link>
		<dc:creator>Diversity in Data Quality in 2010 &#171; Liliendahl on Data Quality</dc:creator>
		<pubDate>Mon, 27 Dec 2010 09:33:41 +0000</pubDate>
		<guid isPermaLink="false">http://datavaluetalk.com/?p=1579#comment-2084</guid>
		<description>[...] The Dutch data quality tool vendor Human Inference has a blog called Data Value Talk. Here several posts are about diversity in data quality including the post World Languages Day – Linguistic diversity rules in Switserland! [...]</description>
		<content:encoded><![CDATA[<p>[...] The Dutch data quality tool vendor Human Inference has a blog called Data Value Talk. Here several posts are about diversity in data quality including the post World Languages Day – Linguistic diversity rules in Switserland! [...]</p>
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