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	<title>Gigaom Search &#187; Companies &#187; Tableau Software</title>
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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>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=245891</guid>
		<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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		<slash:comments>0</slash:comments>
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		<title>The rise of self-service analytics, in 3 charts</title>
		<link>http://gigaom.com/2015/02/13/the-rise-of-self-service-analytics-in-3-charts/</link>
		<comments>http://gigaom.com/2015/02/13/the-rise-of-self-service-analytics-in-3-charts/#comments</comments>
		<pubDate>Fri, 13 Feb 2015 16:37:14 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[data democratization]]></category>
		<category><![CDATA[microstrategy]]></category>
		<category><![CDATA[Qlik]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=914765</guid>
		<description><![CDATA[I'm trying really hard to write less about business intelligence and analytics software. We get it: Data is important to businesses, and the easier you can make it for people to analyze&#8230;]]></description>
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		<slash:comments>2</slash:comments>
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		<title>Analytics startup Mode wants to give SQL a shiny home in the cloud</title>
		<link>https://gigaom.com/2015/02/05/data-collaboration-platform-mode-wants-to-move-sql-to-the-cloud/</link>
		<comments>https://gigaom.com/2015/02/05/data-collaboration-platform-mode-wants-to-move-sql-to-the-cloud/#comments</comments>
		<pubDate>Thu, 05 Feb 2015 21:28:15 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=912892</guid>
		<description><![CDATA[Mode, a startup that's trying to be something like a GitHub for data scientists, has added new features to its collaboration platform that make it easier to write SQL queries and&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/05/data-collaboration-platform-mode-wants-to-move-sql-to-the-cloud/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Microsoft throws down the gauntlet in business intelligence</title>
		<link>https://gigaom.com/2015/01/27/microsoft-throws-down-the-gauntlet-in-business-intelligence/</link>
		<comments>https://gigaom.com/2015/01/27/microsoft-throws-down-the-gauntlet-in-business-intelligence/#comments</comments>
		<pubDate>Tue, 27 Jan 2015 16:12:54 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:CRM]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=909819</guid>
		<description><![CDATA[ is not content to let Excel define the company's reputation among the world's data analysts. That's the message the company sent on Tuesday when it announced that its PowerBI product is&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/27/microsoft-throws-down-the-gauntlet-in-business-intelligence/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
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		<title>Hands on with Watson Analytics: Pretty useful when it&#8217;s working</title>
		<link>https://gigaom.com/2015/01/18/hands-on-with-watson-analytics-pretty-useful-when-its-working/</link>
		<comments>https://gigaom.com/2015/01/18/hands-on-with-watson-analytics-pretty-useful-when-its-working/#comments</comments>
		<pubDate>Sun, 18 Jan 2015 17:07:45 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[data democratization]]></category>
		<category><![CDATA[Watson Analytics]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=907075</guid>
		<description><![CDATA[Last month,  made available the beta version of its Watson Analytics data analysis service, an offering first announced in September. It's one of IBM's only recent forays into anything resembling&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/18/hands-on-with-watson-analytics-pretty-useful-when-its-working/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>The 5 stories that defined the big data market in 2014</title>
		<link>https://gigaom.com/2015/01/02/the-5-stories-that-defined-the-big-data-market-in-2014/</link>
		<comments>https://gigaom.com/2015/01/02/the-5-stories-that-defined-the-big-data-market-in-2014/#comments</comments>
		<pubDate>Fri, 02 Jan 2015 17:27:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[deepmind]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Watson]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=903494</guid>
		<description><![CDATA[There is no other way to put it: 2014 was a huge year for the big data market. It seems years of talk about what's possible are finally giving way to some&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/02/the-5-stories-that-defined-the-big-data-market-in-2014/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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		<title>Is the Hortonworks IPO a referendum on open source?</title>
		<link>http://research.gigaom.com/2014/12/hortonworks-ipo-as-referendum-on-open-source/</link>
		<comments>http://research.gigaom.com/2014/12/hortonworks-ipo-as-referendum-on-open-source/#comments</comments>
		<pubDate>Wed, 17 Dec 2014 14:00:42 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Initial public offering]]></category>
		<category><![CDATA[initial public offerings (IPOs)]]></category>
		<category><![CDATA[open-source software]]></category>
		<category><![CDATA[pre-profit startup]]></category>
		<category><![CDATA[software licenses]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:YHOO]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:YHOO]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?p=242971</guid>
		<description><![CDATA[This past Friday, Hortonworks made good on its announced intention to present an initial public offering to the market. The shares were initially priced at $16, opened with an initial bid&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/2014/12/hortonworks-ipo-as-referendum-on-open-source/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>For now, Hortonworks expects its IPO to be worth up to $97M</title>
		<link>https://gigaom.com/2014/12/01/for-now-hortonworks-expects-its-ipo-to-be-worth-up-to-97m/</link>
		<comments>https://gigaom.com/2014/12/01/for-now-hortonworks-expects-its-ipo-to-be-worth-up-to-97m/#comments</comments>
		<pubDate>Mon, 01 Dec 2014 18:32:55 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[initial public offerings (IPOs)]]></category>
		<category><![CDATA[ipo]]></category>
		<category><![CDATA[open source]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=897197</guid>
		<description><![CDATA[Hadoop vendor Hortonworks has priced its initial public offering at between $12 and $14 a share, according to an updated S-1 form the company filed with the SEC on Monday.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/01/for-now-hortonworks-expects-its-ipo-to-be-worth-up-to-97m/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Big Data analytics in the cloud: The Enterprise wants it now</title>
		<link>http://research.gigaom.com/2014/11/big-data-analytics-in-the-cloud-the-enterprise-wants-it-now/</link>
		<comments>http://research.gigaom.com/2014/11/big-data-analytics-in-the-cloud-the-enterprise-wants-it-now/#comments</comments>
		<pubDate>Wed, 12 Nov 2014 14:00:53 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Enterprise]]></category>
		<category><![CDATA[survey]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:NFLX]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:NFLX]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:SAP]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?p=241034</guid>
		<description><![CDATA[The journey to cloud computing, and to its adoption in the enterprise, has been a rather manic-depressive one. When the first public cloud platforms became available, many thought the model would&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/2014/11/big-data-analytics-in-the-cloud-the-enterprise-wants-it-now/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Tableau CEO says the company&#8217;s biggest challenge now is talent</title>
		<link>https://gigaom.com/2014/11/06/tableau-ceo-says-the-companys-biggest-challenge-now-is-talent/</link>
		<comments>https://gigaom.com/2014/11/06/tableau-ceo-says-the-companys-biggest-challenge-now-is-talent/#comments</comments>
		<pubDate>Fri, 07 Nov 2014 02:04:27 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data analysis]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AAPL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AAPL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=886982</guid>
		<description><![CDATA[In an interview with Gigaom on Thursday, Tableau Software CEO Christian Chabot spoke about the company's $100 million third quarter and the challenges it faces as it continues to grow. He&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/06/tableau-ceo-says-the-companys-biggest-challenge-now-is-talent/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
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