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<oembed><version>1.0</version><provider_name>Bryan Eisenberg &amp; Jeffrey Eisenberg</provider_name><provider_url>https://www.bryaneisenberg.com</provider_url><author_name>Bryan Eisenberg</author_name><author_url>https://www.bryaneisenberg.com/author/thegrok/</author_url><title>Big Data Does Not Mean Big Amounts of People by @TheGrok</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="QRg1mkvJYw"&gt;&lt;a href="https://www.bryaneisenberg.com/big-data-does-not-mean-big-amounts-of-people/"&gt;Big Data Does Not Mean Big Amounts of People&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.bryaneisenberg.com/big-data-does-not-mean-big-amounts-of-people/embed/#?secret=QRg1mkvJYw" width="600" height="338" title="&#x201C;Big Data Does Not Mean Big Amounts of People&#x201D; &#x2014; Bryan Eisenberg &amp; Jeffrey Eisenberg" data-secret="QRg1mkvJYw" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>In my last few articles, I have been sharing some of the most interesting Big Data Marketing tools that focus in on marketing automation or adaptive learning &amp; optimization platforms. The main reason is because I have seen how this movie plays out before in the CRM and Web Analytics space. There are hardly enough people out there that deserve the data of data analyst let alone the data scientists that Mckinsey is predicting the need for 150,000 or so&hellip;</description><thumbnail_url>https://bryaneisenberg.wpengine.com/wp-content/uploads/2012/08/0911-linkedin-data-science-chart-293x300.png</thumbnail_url></oembed>
