<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" > <channel><title>Comments on: Web Data Quality: A 6 Step Process To Evolve Your Mental Model</title> <atom:link href="http://www.kaushik.net/avinash/2009/05/web-data-quality-6-step-process-evolve-mental-model.html/feed" rel="self" type="application/rss+xml" /><link>http://www.kaushik.net/avinash/2009/05/web-data-quality-6-step-process-evolve-mental-model.html</link> <description>Pluralitas non est ponenda sine neccesitate.</description> <lastBuildDate>Wed, 17 Mar 2010 23:48:52 +0000</lastBuildDate> <generator>http://wordpress.org/?v=2.9.2</generator> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <item><title>By: Jajn</title><link>http://www.kaushik.net/avinash/2009/05/web-data-quality-6-step-process-evolve-mental-model.html/comment-page-2#comment-490861</link> <dc:creator>Jajn</dc:creator> <pubDate>Wed, 13 Jan 2010 14:56:39 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/?p=1702#comment-490861</guid> <description>Hello! I come from a stand site Daquan zzwzdq.com. I am a Chinese. Read your article, I think we should educate businesses and related data quality hippopotamus.</description> <content:encoded><![CDATA[<p>Hello! I come from a stand site Daquan zzwzdq.com. I am a Chinese.<br /> Read your article, I think we should educate businesses and related data quality hippopotamus.</p> ]]></content:encoded> </item> <item><title>By: Link Love &#171; Cory Barbot</title><link>http://www.kaushik.net/avinash/2009/05/web-data-quality-6-step-process-evolve-mental-model.html/comment-page-2#comment-489572</link> <dc:creator>Link Love &#171; Cory Barbot</dc:creator> <pubDate>Tue, 20 Oct 2009 03:14:09 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/?p=1702#comment-489572</guid> <description>[...] Link: Web Data Quality: A 6 Step Process to Evolve Your Mental Model [...]</description> <content:encoded><![CDATA[<p>[...] Link: Web Data Quality: A 6 Step Process to Evolve Your Mental Model [...]</p> ]]></content:encoded> </item> <item><title>By: Unique-Frequency.com &#187; Blog Archive &#187; Data, Data And More Data</title><link>http://www.kaushik.net/avinash/2009/05/web-data-quality-6-step-process-evolve-mental-model.html/comment-page-2#comment-488339</link> <dc:creator>Unique-Frequency.com &#187; Blog Archive &#187; Data, Data And More Data</dc:creator> <pubDate>Thu, 13 Aug 2009 11:35:35 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/?p=1702#comment-488339</guid> <description>[...] 2) Data is imperfect Dorothy and I have said this before on The GennY Podcast. As much as existing web analytics does not report statistics in the depth that people are (unreasonably) demanding, it’s still miles galaxies ahead of “faith based initiatives” as Avinash puts it: [...]</description> <content:encoded><![CDATA[<p>[...]<br /> 2) Data is imperfect<br /> Dorothy and I have said this before on The GennY Podcast. As much as existing web analytics does not report statistics in the depth that people are (unreasonably) demanding, it’s still miles galaxies ahead of “faith based initiatives” as Avinash puts it:<br /> [...]</p> ]]></content:encoded> </item> <item><title>By: yarismak</title><link>http://www.kaushik.net/avinash/2009/05/web-data-quality-6-step-process-evolve-mental-model.html/comment-page-1#comment-488016</link> <dc:creator>yarismak</dc:creator> <pubDate>Fri, 24 Jul 2009 16:20:52 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/?p=1702#comment-488016</guid> <description>Great post, Avinash! this is something I talk about a lot in my Webtrends classes – the fact that data on the web is inexact and will probably remain so for some time to come.It’s a big paradigm shift for companies, so I really try to focus on explaining why the data is inexact and what we can learn from it anyway.</description> <content:encoded><![CDATA[<p>Great post, Avinash! this is something I talk about a lot in my Webtrends classes – the fact that data on the web is inexact and will probably remain so for some time to come.</p><p>It’s a big paradigm shift for companies, so I really try to focus on explaining why the data is inexact and what we can learn from it anyway.</p> ]]></content:encoded> </item> <item><title>By: Hans</title><link>http://www.kaushik.net/avinash/2009/05/web-data-quality-6-step-process-evolve-mental-model.html/comment-page-1#comment-487780</link> <dc:creator>Hans</dc:creator> <pubDate>Wed, 08 Jul 2009 12:40:51 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/?p=1702#comment-487780</guid> <description>I cant say I know much about statistics for adds but the point about selective I think is important.And also very associated the possibility to put large areas in black-boxes or to other people. Hence looking at one large internet society I would find maybe fem very conntected people of a little difference type and look and talk to.With a lot of resources one could maybe do it different but this works quite ok when you get used to identity the point you follow.I imagine something similar would be important looking at your data sources for add-revenou.</description> <content:encoded><![CDATA[<p>I cant say I know much about statistics for adds but the point about selective I think is important.</p><p>And also very associated the possibility to put large areas in black-boxes or to other people. Hence looking at one large internet society I would find maybe fem very conntected people of a little difference type and look and talk to.</p><p>With a lot of resources one could maybe do it different but this works quite ok when you get used to identity the point you follow.</p><p>I imagine something similar would be important looking at your data sources for add-revenou.</p> ]]></content:encoded> </item> <item><title>By: Link Love Friday with Cory B.</title><link>http://www.kaushik.net/avinash/2009/05/web-data-quality-6-step-process-evolve-mental-model.html/comment-page-1#comment-487287</link> <dc:creator>Link Love Friday with Cory B.</dc:creator> <pubDate>Thu, 18 Jun 2009 07:06:30 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/?p=1702#comment-487287</guid> <description>[...] Link: Web Data Quality: A 6 Step Process to Evolve Your Mental ModelLove: data, but don’t allow imperfect data to cause you to freeze and not act.  One of my favorite lines from this post says there is no limit to the amount of data to you can collect and store on the Internet, and it’s headache-inducingly correct.  I’ve mentioned in previous posts the importance of collecting data, analyzing data and then providing an interpretation of that data for insight into what action should be taken, and I of course still feel that way, but I’m not a Quant.  There’s a point where granular becomes so microscopic that the difference in dataset A and dataset B will not cause your client to change his or her decision. Therefore, you need to accept imperfection and act.  I know we’re big into models and science and equations, but so was Wall Street, and we saw what happened there.  Certainly collect your data, but don’t allow it to bog you down into indecision, and don’t allow incomplete data to bolster that indecision.  After all, it’s all incomplete (esoteric alert!). [...]</description> <content:encoded><![CDATA[<p>[...]<br /> Link: Web Data Quality: A 6 Step Process to Evolve Your Mental Model</p><p>Love: data, but don’t allow imperfect data to cause you to freeze and not act.  One of my favorite lines from this post says there is no limit to the amount of data to you can collect and store on the Internet, and it’s headache-inducingly correct.  I’ve mentioned in previous posts the importance of collecting data, analyzing data and then providing an interpretation of that data for insight into what action should be taken, and I of course still feel that way, but I’m not a Quant.  There’s a point where granular becomes so microscopic that the difference in dataset A and dataset B will not cause your client to change his or her decision. Therefore, you need to accept imperfection and act.  I know we’re big into models and science and equations, but so was Wall Street, and we saw what happened there.  Certainly collect your data, but don’t allow it to bog you down into indecision, and don’t allow incomplete data to bolster that indecision.  After all, it’s all incomplete (esoteric alert!).<br /> [...]</p> ]]></content:encoded> </item> </channel> </rss>
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