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		<title>Big Visualization: Putting the Big Data Focus on the Insights</title>
		<link>http://research.gigaom.com/webinar/big-visualization-putting-the-big-data-focus-on-the-insights/</link>
		<comments>http://research.gigaom.com/webinar/big-visualization-putting-the-big-data-focus-on-the-insights/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[William McKnight]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Big Data visualization]]></category>

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		<description><![CDATA[Data is the key “raw material” driving businesses today, and it is ushering us into the next revolution.  New manufacturing processes in the 1700s and 1800s completely transformed how goods were&#8230;]]></description>
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		<title>Embedded BI: Delivering frictionless data analytics</title>
		<link>http://research.gigaom.com/webinar/embedded-bi-delivering-frictionless-data-analytics/</link>
		<comments>http://research.gigaom.com/webinar/embedded-bi-delivering-frictionless-data-analytics/#comments</comments>
		<pubDate>Wed, 25 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Embedded BI]]></category>

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		<description><![CDATA[Data analysts have plenty of tools for business intelligence, data discovery and visualization.  Self-service is almost a given, and cloud options abound.  So how can BI get to the next stage,&#8230;]]></description>
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		<title>User Driven BI in the Cloud and Within Your Application</title>
		<link>http://research.gigaom.com/webinar/user-driven-bi-in-the-cloud-and-within-your-application/</link>
		<comments>http://research.gigaom.com/webinar/user-driven-bi-in-the-cloud-and-within-your-application/#comments</comments>
		<pubDate>Thu, 20 Nov 2014 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[William McKnight]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud applications]]></category>

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		<description><![CDATA[If you’re responsible for delivery of a .NET application and your users have analytics requirements, you have some decisions to make. Having your development team “roll its own” analytics functionality will&#8230;]]></description>
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		<title>Between “Mayhem” and “Managed&#8221;: The Self-Service Sweet Spot for Analysis in a Data Lake</title>
		<link>http://research.gigaom.com/webinar/between-mayhem-and-managed-the-self-service-sweet-spot-for-analysis-in-a-data-lake/</link>
		<comments>http://research.gigaom.com/webinar/between-mayhem-and-managed-the-self-service-sweet-spot-for-analysis-in-a-data-lake/#comments</comments>
		<pubDate>Wed, 24 Sep 2014 17:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[data visualization]]></category>

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		<description><![CDATA[The popularity of the data lake architecture is rapidly growing.  However, deriving value from the data lake, whether for data visualization, discovery of insights or advanced analytics, requires transforming data from&#8230;]]></description>
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