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<channel>
	<title>Analytics Team</title>
	
	<link>http://www.analyticsteam.com</link>
	<description>Predictive analytics, data mining, business intelligence and more.  Information useful to analysts and data people of all kinds</description>
	<lastBuildDate>Mon, 06 Feb 2012 05:07:05 +0000</lastBuildDate>
	<language>en</language>
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		<title>Open source HTML5 charts using Flotr2</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/uiET6OPoOL4/</link>
		<comments>http://www.analyticsteam.com/2012/02/05/open-source-html5-charts-using-flotr2/#comments</comments>
		<pubDate>Mon, 06 Feb 2012 05:04:01 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[open source]]></category>
		<category><![CDATA[chart]]></category>
		<category><![CDATA[graph]]></category>
		<category><![CDATA[webresourcedepot]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1366</guid>
		<description><![CDATA[Webresourcedepot highlights an open source charting and graphing library called Flotr2. Check out some of the sample charts.]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.webresourcesdepot.com/open-source-html5-charts-graphs-flotr2/" title="Web Resource Depot" target="_blank">Webresourcedepot</a> highlights an open source charting and graphing library called <a href="http://code.google.com/p/flotr/" title="Flotr2" target="_blank">Flotr2</a>.  Check out some of the <a href="http://flotr.googlecode.com/svn/trunk/flotr/examples/prototype/index.html" title="Sample Flotr2 charts" target="_blank">sample charts</a>.</p>

<p><a href="http://feedads.g.doubleclick.net/~a/wK2lYUeHqhBuOGSoewzXH8G_Kgg/0/da"><img src="http://feedads.g.doubleclick.net/~a/wK2lYUeHqhBuOGSoewzXH8G_Kgg/0/di" border="0" ismap="true"></img></a><br/>
<a href="http://feedads.g.doubleclick.net/~a/wK2lYUeHqhBuOGSoewzXH8G_Kgg/1/da"><img src="http://feedads.g.doubleclick.net/~a/wK2lYUeHqhBuOGSoewzXH8G_Kgg/1/di" border="0" ismap="true"></img></a></p><img src="http://feeds.feedburner.com/~r/AnalyticsTeam/~4/uiET6OPoOL4" height="1" width="1"/>]]></content:encoded>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://www.analyticsteam.com/2012/02/05/open-source-html5-charts-using-flotr2/</feedburner:origLink></item>
		<item>
		<title>New analytics papers</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/JDnqw1gL_RA/</link>
		<comments>http://www.analyticsteam.com/2012/02/05/new-analytics-papers/#comments</comments>
		<pubDate>Mon, 06 Feb 2012 05:01:02 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[data mining]]></category>
		<category><![CDATA[dataminingblog]]></category>
		<category><![CDATA[research paper]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1364</guid>
		<description><![CDATA[The DataminingBlog found two new papers on the subject of analytics.]]></description>
			<content:encoded><![CDATA[<p>The <a href="http://www.dataminingblog.com/analytics-and-data-science-reports/" title="Data Mining blog" target="_blank">DataminingBlog</a> found two new papers on the subject of analytics.</p>

<p><a href="http://feedads.g.doubleclick.net/~a/kIwF4m7fLaNARFQXYP0G_dMwKro/0/da"><img src="http://feedads.g.doubleclick.net/~a/kIwF4m7fLaNARFQXYP0G_dMwKro/0/di" border="0" ismap="true"></img></a><br/>
<a href="http://feedads.g.doubleclick.net/~a/kIwF4m7fLaNARFQXYP0G_dMwKro/1/da"><img src="http://feedads.g.doubleclick.net/~a/kIwF4m7fLaNARFQXYP0G_dMwKro/1/di" border="0" ismap="true"></img></a></p><img src="http://feeds.feedburner.com/~r/AnalyticsTeam/~4/JDnqw1gL_RA" height="1" width="1"/>]]></content:encoded>
			<wfw:commentRss>http://www.analyticsteam.com/2012/02/05/new-analytics-papers/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://www.analyticsteam.com/2012/02/05/new-analytics-papers/</feedburner:origLink></item>
		<item>
		<title>How P&amp;G uses BI</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/RORE6LX0y3A/</link>
		<comments>http://www.analyticsteam.com/2012/02/02/how-pg-uses-bi/#comments</comments>
		<pubDate>Fri, 03 Feb 2012 04:01:23 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[business intelligence]]></category>
		<category><![CDATA[CIO Insight]]></category>
		<category><![CDATA[Filippo Passerini]]></category>
		<category><![CDATA[P&G]]></category>
		<category><![CDATA[Procter & Gamble]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1360</guid>
		<description><![CDATA[Here&#8217;s an article from CIO Insight with an interview with Filippo Passerini, CIO of Procter &#038; Gamble and President of P&#038;G’s Global Business Services organization about how he and the P&#038;G team use BI.]]></description>
			<content:encoded><![CDATA[<p>Here&#8217;s an article from <a href="http://www.cioinsight.com/c/a/Business-Intelligence/Data-Wrangling-How-PG-Maximizes-Business-Analytics-782673/?kc=rss" title="CIO Insight" target="_blank">CIO Insight</a> with an interview with Filippo Passerini, CIO of Procter &#038; Gamble and President of P&#038;G’s Global Business Services organization about how he and the P&#038;G team use BI.</p>

<p><a href="http://feedads.g.doubleclick.net/~a/tH9vB8rLU5_YI8m5NjLoRI9OBic/0/da"><img src="http://feedads.g.doubleclick.net/~a/tH9vB8rLU5_YI8m5NjLoRI9OBic/0/di" border="0" ismap="true"></img></a><br/>
<a href="http://feedads.g.doubleclick.net/~a/tH9vB8rLU5_YI8m5NjLoRI9OBic/1/da"><img src="http://feedads.g.doubleclick.net/~a/tH9vB8rLU5_YI8m5NjLoRI9OBic/1/di" border="0" ismap="true"></img></a></p><img src="http://feeds.feedburner.com/~r/AnalyticsTeam/~4/RORE6LX0y3A" height="1" width="1"/>]]></content:encoded>
			<wfw:commentRss>http://www.analyticsteam.com/2012/02/02/how-pg-uses-bi/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://www.analyticsteam.com/2012/02/02/how-pg-uses-bi/</feedburner:origLink></item>
		<item>
		<title>Machine learning coming soon</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/0HcxPNL0s-w/</link>
		<comments>http://www.analyticsteam.com/2012/02/02/machine-learning-coming-soon/#comments</comments>
		<pubDate>Fri, 03 Feb 2012 03:51:10 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[machine learning]]></category>
		<category><![CDATA[gigaom]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1356</guid>
		<description><![CDATA[GigaOm highlights some emerging trends in new big data systems starting to make use of machine learning to actually get smarter as more data is ingested.]]></description>
			<content:encoded><![CDATA[<p><a href="http://gigaom.com/cloud/is-machine-learning-coming-to-a-system-near-you/" title="GigaOm machine learning" target="_blank">GigaOm</a> highlights some emerging trends in new big data systems starting to make use of machine learning to actually get smarter as more data is ingested.</p>

<p><a href="http://feedads.g.doubleclick.net/~a/SxeS3ozIFg00kYGvO38Rt4iWrRU/0/da"><img src="http://feedads.g.doubleclick.net/~a/SxeS3ozIFg00kYGvO38Rt4iWrRU/0/di" border="0" ismap="true"></img></a><br/>
<a href="http://feedads.g.doubleclick.net/~a/SxeS3ozIFg00kYGvO38Rt4iWrRU/1/da"><img src="http://feedads.g.doubleclick.net/~a/SxeS3ozIFg00kYGvO38Rt4iWrRU/1/di" border="0" ismap="true"></img></a></p><img src="http://feeds.feedburner.com/~r/AnalyticsTeam/~4/0HcxPNL0s-w" height="1" width="1"/>]]></content:encoded>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://www.analyticsteam.com/2012/02/02/machine-learning-coming-soon/</feedburner:origLink></item>
		<item>
		<title>Ebay’s big data</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/THpUXcCYKUQ/</link>
		<comments>http://www.analyticsteam.com/2012/02/01/ebays-big-data/#comments</comments>
		<pubDate>Thu, 02 Feb 2012 05:05:21 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[analytics]]></category>
		<category><![CDATA[vendors]]></category>
		<category><![CDATA[big data]]></category>
		<category><![CDATA[ebay]]></category>
		<category><![CDATA[gigaom]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1369</guid>
		<description><![CDATA[Here&#8217;s a GigaOm article with all the details of what Ebay&#8217;s up to related to &#8220;big data.&#8221;]]></description>
			<content:encoded><![CDATA[<p>Here&#8217;s a <a href="http://gigaom.com/cloud/under-the-covers-of-ebays-big-data-operation/" title="GigaOm" target="_blank">GigaOm</a> article with all the details of what Ebay&#8217;s up to related to &#8220;big data.&#8221;</p>

<p><a href="http://feedads.g.doubleclick.net/~a/bRLWlMk9i6LNPDKxCFYcb9N8Wn0/0/da"><img src="http://feedads.g.doubleclick.net/~a/bRLWlMk9i6LNPDKxCFYcb9N8Wn0/0/di" border="0" ismap="true"></img></a><br/>
<a href="http://feedads.g.doubleclick.net/~a/bRLWlMk9i6LNPDKxCFYcb9N8Wn0/1/da"><img src="http://feedads.g.doubleclick.net/~a/bRLWlMk9i6LNPDKxCFYcb9N8Wn0/1/di" border="0" ismap="true"></img></a></p><img src="http://feeds.feedburner.com/~r/AnalyticsTeam/~4/THpUXcCYKUQ" height="1" width="1"/>]]></content:encoded>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://www.analyticsteam.com/2012/02/01/ebays-big-data/</feedburner:origLink></item>
		<item>
		<title>Tips for mobile BI</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/51GCoHUhJeE/</link>
		<comments>http://www.analyticsteam.com/2012/02/01/tips-for-mobile-bi/#comments</comments>
		<pubDate>Thu, 02 Feb 2012 04:02:47 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[business intelligence]]></category>
		<category><![CDATA[bi]]></category>
		<category><![CDATA[enterprise apps today]]></category>
		<category><![CDATA[mobile]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1362</guid>
		<description><![CDATA[Enterprise Apps Today shares some tips from industry experts about mobile business intelligence.]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.enterpriseappstoday.com/business-intelligence/11-tips-for-successful-mobile-business-intelligence.html" title="Enterprise Apps Today mobile business intelligence" target="_blank">Enterprise Apps Today</a> shares some tips from industry experts about mobile business intelligence.</p>

<p><a href="http://feedads.g.doubleclick.net/~a/1A-EYedk18SoP_jJDusz6dM8C14/0/da"><img src="http://feedads.g.doubleclick.net/~a/1A-EYedk18SoP_jJDusz6dM8C14/0/di" border="0" ismap="true"></img></a><br/>
<a href="http://feedads.g.doubleclick.net/~a/1A-EYedk18SoP_jJDusz6dM8C14/1/da"><img src="http://feedads.g.doubleclick.net/~a/1A-EYedk18SoP_jJDusz6dM8C14/1/di" border="0" ismap="true"></img></a></p><img src="http://feeds.feedburner.com/~r/AnalyticsTeam/~4/51GCoHUhJeE" height="1" width="1"/>]]></content:encoded>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://www.analyticsteam.com/2012/02/01/tips-for-mobile-bi/</feedburner:origLink></item>
		<item>
		<title>Building a data science team at a startup</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/ZGb9S-7gfBA/</link>
		<comments>http://www.analyticsteam.com/2012/01/30/building-a-data-science-team-at-a-startup/#comments</comments>
		<pubDate>Tue, 31 Jan 2012 05:02:28 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[analytics]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[kurt schrader]]></category>
		<category><![CDATA[startup]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1349</guid>
		<description><![CDATA[Here&#8217;s an article from Kurt Schrader&#8217;s blog about his experience as an engineering manager working to build a data science team at a startup. Kurt is VP of engineering at Intent Media.]]></description>
			<content:encoded><![CDATA[<p>Here&#8217;s an article from <a href="http://kurt.karmalab.org/2012/01/30/building-a-data-team/" title="Kurt Schrader's Blog" target="_blank">Kurt Schrader&#8217;s blog</a> about his experience as an engineering manager working to build a data science team at a startup.  Kurt is VP of engineering at <a href="http://www.intentmedia.com/" title="Intent Media" target="_blank">Intent Media</a>.</p>

<p><a href="http://feedads.g.doubleclick.net/~a/n_hFkxq5rPZCnivDB187i5M_Xvs/0/da"><img src="http://feedads.g.doubleclick.net/~a/n_hFkxq5rPZCnivDB187i5M_Xvs/0/di" border="0" ismap="true"></img></a><br/>
<a href="http://feedads.g.doubleclick.net/~a/n_hFkxq5rPZCnivDB187i5M_Xvs/1/da"><img src="http://feedads.g.doubleclick.net/~a/n_hFkxq5rPZCnivDB187i5M_Xvs/1/di" border="0" ismap="true"></img></a></p><img src="http://feeds.feedburner.com/~r/AnalyticsTeam/~4/ZGb9S-7gfBA" height="1" width="1"/>]]></content:encoded>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://www.analyticsteam.com/2012/01/30/building-a-data-science-team-at-a-startup/</feedburner:origLink></item>
		<item>
		<title>5 low profile big data startups</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/BCOmJ6vzTA0/</link>
		<comments>http://www.analyticsteam.com/2012/01/29/5-low-profile-big-data-startups/#comments</comments>
		<pubDate>Mon, 30 Jan 2012 05:02:52 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[analytics]]></category>
		<category><![CDATA[big data]]></category>
		<category><![CDATA[gigaom]]></category>
		<category><![CDATA[startups]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1351</guid>
		<description><![CDATA[Normally lists are the top 5 best, but here&#8217;s a post from GigaOm with a list of 5 low-profile startups that could change big data. Bloomreach Continuuity Odiago Platfora Skytree]]></description>
			<content:encoded><![CDATA[<p>Normally lists are the top 5 best, but here&#8217;s a post from GigaOm with a <a href="http://gigaom.com/cloud/5-low-profile-startups-that-could-change-the-face-of-big-data/" title="GigaOm" target="_blank">list of 5 low-profile startups that could change big data</a>.</p>
<ol>
<li><a href="http://www.bloomreach.com/" title="Bloomreach" target="_blank">Bloomreach</a></li>
<li><a href="http://continuuity.com/" title="Continuuity" target="_blank">Continuuity</a></li>
<li><a href="http://odiago.com/" title="Odiago" target="_blank">Odiago</a></li>
<li><a href="http://platfora.com/" title="Platfora" target="_blank">Platfora</a></li>
<li><a href="http://skytreecorp.com/" title="Skytree" target="_blank">Skytree</a></li>
</ol>

<p><a href="http://feedads.g.doubleclick.net/~a/TEj5IOQKSLmVivEzJzOBdrB9z-E/0/da"><img src="http://feedads.g.doubleclick.net/~a/TEj5IOQKSLmVivEzJzOBdrB9z-E/0/di" border="0" ismap="true"></img></a><br/>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://www.analyticsteam.com/2012/01/29/5-low-profile-big-data-startups/</feedburner:origLink></item>
		<item>
		<title>Visualize your Facebook friends’ likes</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/7mchA8Q9DC4/</link>
		<comments>http://www.analyticsteam.com/2012/01/13/visualize-your-facebook-friends-likes/#comments</comments>
		<pubDate>Sat, 14 Jan 2012 04:54:49 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[social networking]]></category>
		<category><![CDATA[visualization]]></category>
		<category><![CDATA[gephi]]></category>
		<category><![CDATA[google refine]]></category>
		<category><![CDATA[o'reilly radar]]></category>
		<category><![CDATA[tony hirst]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1334</guid>
		<description><![CDATA[O&#8217;Reilly Radar&#8217;s visualization of the week is one by Tony Hirst showing all of your Facebook friends&#8217; likes. The best part is he tells you exactly how to do it using Gephi and Google Refine.]]></description>
			<content:encoded><![CDATA[<p><a href="http://radar.oreilly.com/2012/01/facebook-overlapping-likes-visualization.html" title="O'Reilly Radar's visualization of the week" target="_blank">O&#8217;Reilly Radar&#8217;s visualization of the week</a> is one by Tony Hirst showing all of your Facebook friends&#8217; likes.  The best part is he <a href="http://blog.ouseful.info/2012/01/04/social-interest-positioning-visualising-facebook-friends-likes/" title="instructions for fb likes visualization" target="_blank">tells you exactly how to do it</a> using Gephi and Google Refine.</p>
<p><Center><img src="http://farm8.staticflickr.com/7007/6629870307_fc9a948788.jpg" alt="visualization of facebook friends likes" /></center></p>

<p><a href="http://feedads.g.doubleclick.net/~a/Zz0bDBj-iBGfRviI8H35otjHBxM/0/da"><img src="http://feedads.g.doubleclick.net/~a/Zz0bDBj-iBGfRviI8H35otjHBxM/0/di" border="0" ismap="true"></img></a><br/>
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		<feedburner:origLink>http://www.analyticsteam.com/2012/01/13/visualize-your-facebook-friends-likes/</feedburner:origLink></item>
		<item>
		<title>5 big data startups</title>
		<link>http://feedproxy.google.com/~r/AnalyticsTeam/~3/-iG-5twt8Yo/</link>
		<comments>http://www.analyticsteam.com/2012/01/11/5-big-data-startups/#comments</comments>
		<pubDate>Thu, 12 Jan 2012 05:19:01 +0000</pubDate>
		<dc:creator />
				<category><![CDATA[analytics]]></category>
		<category><![CDATA[vendors]]></category>
		<category><![CDATA[big data]]></category>
		<category><![CDATA[datasciencecentral]]></category>
		<category><![CDATA[datastax]]></category>
		<category><![CDATA[domo]]></category>
		<category><![CDATA[metamarkets]]></category>
		<category><![CDATA[platfora]]></category>
		<category><![CDATA[startup]]></category>
		<category><![CDATA[visually]]></category>

		<guid isPermaLink="false">http://www.analyticsteam.com/?p=1340</guid>
		<description><![CDATA[DataScienceCentral lists off the following 5 companies as big data startups to watch&#8230; Platfora DataStax Visual.ly Domo Metamarkets]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.datasciencecentral.com/profiles/blogs/5-big-data-startups-that-matter-platfora-datastax-visual-ly-domo-" title="Data Science Central" target="_blank">DataScienceCentral</a> lists off the following 5 companies as big data startups to watch&#8230;</p>
<ol>
<li><a href="http://www.platfora.com/" title="Platfora" target="_blank">Platfora</a></li>
<li><a href="http://www.datastax.com/" title="Datastax" target="_blank">DataStax</a></li>
<li><a href="http://www.visual.ly/" title="Visual.ly" target="_blank">Visual.ly</a></li>
<li><a href="http://www.domo.com/" title="Domo" target="_blank">Domo</a></li>
<li><a href="http://www.metamarkets.com/" title="Metamarkets" target="_blank">Metamarkets</a></li>
</ol>

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