<?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: eMetrics DC &#039;07 Reflections: Accuracy, Precision &amp; Predictive Analytics</title> <atom:link href="http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html/feed" rel="self" type="application/rss+xml" /><link>http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html</link> <description>Pluralitas non est ponenda sine neccesitate.</description> <lastBuildDate>Tue, 16 Mar 2010 15:01:56 +0000</lastBuildDate> <generator>http://wordpress.org/?v=2.9.2</generator> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <item><title>By: Hans</title><link>http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html/comment-page-1#comment-487781</link> <dc:creator>Hans</dc:creator> <pubDate>Wed, 08 Jul 2009 12:48:25 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html#comment-487781</guid> <description>I get quite impressed with your blog posts. A lot of knowledge. You are also a good writer.One thought though is that I get the feeling you general talk about looking at something very specific. In some posts maybe it isnt visible that you do that?Do also feel that you talk about data for very specific entities such as one brand? Or do you feel the same method can be used on bigger issues and still be the best solution?</description> <content:encoded><![CDATA[<p>I get quite impressed with your blog posts. A lot of knowledge. You are also a good writer.</p><p>One thought though is that I get the feeling you general talk about looking at something very specific. In some posts maybe it isnt visible that you do that?</p><p>Do also feel that you talk about data for very specific entities such as one brand? Or do you feel the same method can be used on bigger issues and still be the best solution?</p> ]]></content:encoded> </item> <item><title>By: The bottom line of your customer data accuracy. « Monetize Your Data</title><link>http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html/comment-page-1#comment-486442</link> <dc:creator>The bottom line of your customer data accuracy. « Monetize Your Data</dc:creator> <pubDate>Tue, 19 May 2009 15:09:56 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html#comment-486442</guid> <description>[...] This Weblink, again from the highly respected and insightful Avinash Kaushik, highlights a major eMetrics Web analytics conference from two years ago, which was linked to a related update from a just completed similar conference in San Jose this year — and specifically that — I add especially in 2009, in these tough times for so many — data accuracy rather than exact precision is most valued, and specifically in what customers have done in the near past that predicts immediate future behavior (and spending which puts money in your pocket) rather than demographic profiles of so-called like types, or even what customers say they are going to do or spend (which often turns out not to be the case). [...]</description> <content:encoded><![CDATA[<p>[...]<br /> This Weblink, again from the highly respected and insightful Avinash Kaushik, highlights a major eMetrics Web analytics conference from two years ago, which was linked to a related update from a just completed similar conference in San Jose this year — and specifically that — I add especially in 2009, in these tough times for so many — data accuracy rather than exact precision is most valued, and specifically in what customers have done in the near past that predicts immediate future behavior (and spending which puts money in your pocket) rather than demographic profiles of so-called like types, or even what customers say they are going to do or spend (which often turns out not to be the case).<br /> [...]</p> ]]></content:encoded> </item> <item><title>By: La IAB pone contra las cuerdas a los Usuarios Unicos. &#171; La compreria</title><link>http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html/comment-page-1#comment-480975</link> <dc:creator>La IAB pone contra las cuerdas a los Usuarios Unicos. &#171; La compreria</dc:creator> <pubDate>Thu, 15 Jan 2009 10:05:57 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html#comment-480975</guid> <description>[...] 1. La obsesisión por la precisión sobre el medio. Este medio/canal es uno de los más medibles, otros como la televisión o la prensa son tremendamente menos medibles, y sin embargo parece que aquí nos estemos cargando las posibilidades del canal simplemente porque no podemos llevarlo al grado máximo de precisión&#8230; lo importante en este caso es la tendencia, no la precisión. Recomiendo esta lectura de Avinash. [...]</description> <content:encoded><![CDATA[<p>[...] 1. La obsesisión por la precisión sobre el medio. Este medio/canal es uno de los más medibles, otros como la televisión o la prensa son tremendamente menos medibles, y sin embargo parece que aquí nos estemos cargando las posibilidades del canal simplemente porque no podemos llevarlo al grado máximo de precisión&#8230; lo importante en este caso es la tendencia, no la precisión. Recomiendo esta lectura de Avinash. [...]</p> ]]></content:encoded> </item> <item><title>By: The 7 keys to successful web metrics (Guide to Small Business Ecommerce Strategy)</title><link>http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html/comment-page-1#comment-432897</link> <dc:creator>The 7 keys to successful web metrics (Guide to Small Business Ecommerce Strategy)</dc:creator> <pubDate>Tue, 11 Mar 2008 15:21:58 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html#comment-432897</guid> <description>[...] Actionable web metrics are precise. Don’t confuse precision with accuracy. While Avinash Kaushik explains the difference between precision and accuracy better than I can, I’ll summarize with my favorite quote about this topic: Apples are apples. It doesn’t matter if your apples are rotten as long as you’re comparing ‘em to other rotten apples.” [...]</description> <content:encoded><![CDATA[<p>[...] Actionable web metrics are precise. Don’t confuse precision with accuracy. While Avinash Kaushik explains the difference between precision and accuracy better than I can, I’ll summarize with my favorite quote about this topic: Apples are apples. It doesn’t matter if your apples are rotten as long as you’re comparing ‘em to other rotten apples.” [...]</p> ]]></content:encoded> </item> <item><title>By: What is e-commerce anyway? (Guide to Small Business E-commerce Strategy)</title><link>http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html/comment-page-1#comment-428784</link> <dc:creator>What is e-commerce anyway? (Guide to Small Business E-commerce Strategy)</dc:creator> <pubDate>Tue, 04 Mar 2008 14:02:24 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html#comment-428784</guid> <description>[...] E-commerce allows for precise measurement. Or mostly precise. Or some kind of precise, dammit. Just don’t tell me it can’t be measured. And don’t confuse precision with accuracy. Yes, unique phone numbers and coupons have any number of flaws. They’re not completely accurate. Bummer. They’re more measurable than not using unique phone numbers or coupons. And for those of you in my past life (you know who you are): my objection to coupons was specific to that implementation, not to the concept in general. If you can’t measure it, you can’t manage it. So don’t bother doing something you’re not bothering to measure. [...]</description> <content:encoded><![CDATA[<p>[...] E-commerce allows for precise measurement. Or mostly precise. Or some kind of precise, dammit. Just don’t tell me it can’t be measured. And don’t confuse precision with accuracy. Yes, unique phone numbers and coupons have any number of flaws. They’re not completely accurate. Bummer. They’re more measurable than not using unique phone numbers or coupons. And for those of you in my past life (you know who you are): my objection to coupons was specific to that implementation, not to the concept in general. If you can’t measure it, you can’t manage it. So don’t bother doing something you’re not bothering to measure. [...]</p> ]]></content:encoded> </item> <item><title>By: biswarup</title><link>http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html/comment-page-1#comment-396405</link> <dc:creator>biswarup</dc:creator> <pubDate>Sat, 29 Dec 2007 07:37:35 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2007/12/emetrics-dc-07-reflections-accuracy-precision-predictive-analytics.html#comment-396405</guid> <description>Nice  topic...good work by Jim...&#039;accuracy&#039; &amp; &#039;precision&#039; reminded me of the same &#039;reliability &amp; validity&#039; issue in multivariate data analysis.</description> <content:encoded><![CDATA[<p>Nice  topic&#8230;good work by Jim&#8230;&#039;accuracy&#039; &amp; &#039;precision&#039; reminded me of the same &#039;reliability &amp; validity&#039; issue in multivariate data analysis.</p> ]]></content:encoded> </item> </channel> </rss>
<!-- This site's performance optimized by W3 Total Cache. Dramatically improve the speed and reliability of your blog!

Learn more about our WordPress Plugins: http://www.w3-edge.com/wordpress-plugins/

Minified using disk
Page Caching using disk (enhanced) (user agent is rejected)
Database Caching 9/20 queries in 0.009 seconds using disk

Served from: stickerbest.com @ 2010-03-17 03:21:04 -->