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	<rss version="2.0"> <channel> <title>Bitpipe: OLAP Research</title> 
	<link>http://www.bitpipe.com/rlist/term/OLAP.html?asrc=RSS_BP </link> <description>White papers, webcasts,
	podcasts, IT downloads and product information provided by Bitpipe</description>
	<language>en-us</language> <lastBuildDate>Mon, 09 Jun 2008 17:15:34 EDT</lastBuildDate>
	<pubDate>Mon, 09 Jun 2008 17:15:34 EDT</pubDate>  <item> <title><![CDATA[Business Intelligence: The Definitive Guide for Midsize Organizations]]></title> <link><![CDATA[http://www.bitpipe.com/detail/RES/1213035588_678.html?asrc=RSS_BP_TERM]]></link>
		<description><![CDATA[
    Business intelligence (BI) allows organizations to better understand&#44; analyze&#44; and even predict what&#39;s occurring in their company.
   Published by: SAP America Inc]]></description>
		<pubDate>Sun, 01 Jun 2008 24:00:00 EDT</pubDate> </item>  <item> <title><![CDATA[5 Styles of Business Intelligence]]></title> <link><![CDATA[http://www.bitpipe.com/detail/RES/1212860331_179.html?asrc=RSS_BP_TERM]]></link>
		<description><![CDATA[
    This paper looks at the historical development of BI applications and BI technology&#44; and concludes that five common Styles of BI have evolved during the past decade &#45; each style representing a certain characteristic usage.
   Published by: MicroStrategy Incorporated]]></description>
		<pubDate>Tue, 01 Jan 2002 24:00:00 EST</pubDate> </item>  <item> <title><![CDATA[Comprehensive Business Intelligence Market Study: Summary Results from the BI Survey 7]]></title> <link><![CDATA[http://www.bitpipe.com/detail/RES/1212860329_785.html?asrc=RSS_BP_TERM]]></link>
		<description><![CDATA[
    The BI Survey 7&#44; the leading independent survey of real&#45;world BI implementations&#44; provides unique&#44; statistically significant insight into actual BI implementations and customer experiences with various BI products.
   Published by: MicroStrategy Incorporated]]></description>
		<pubDate>Sun, 01 Jun 2008 24:00:00 EDT</pubDate> </item>  <item> <title><![CDATA[QuickTour Demo: Key Differentiators between MicroStrategy and Cognos]]></title> <link><![CDATA[http://www.bitpipe.com/detail/RES/1212860328_925.html?asrc=RSS_BP_TERM]]></link>
		<description><![CDATA[
    This tour provides an overview of MicroStrategy platform&#39;s uniquely powerful enterprise BI capabilities and illustrates the 12 key differentiators between MicroStrategy and Cognos.
   Published by: MicroStrategy Incorporated]]></description>
		<pubDate>Sat, 07 Jun 2008 24:00:00 EDT</pubDate> </item>  <item> <title><![CDATA[LiveWire Mobile Brings Music to Your Ears with Insight from Business Objects]]></title> <link><![CDATA[http://www.bitpipe.com/detail/RES/1212600776_458.html?asrc=RSS_BP_TERM]]></link>
		<description><![CDATA[
    LiveWire Mobile needed a way of managing the royalty stream for end&#45;user downloads&#44; measuring performance and the end&#45;user experience&#44; and analyzing trends quickly.
   Published by: Business Objects]]></description>
		<pubDate>Sun, 01 Jun 2008 24:00:00 EDT</pubDate> </item>  <item> <title><![CDATA[Business Intelligence - the Definitive Guide for Mid-size Companies]]></title> <link><![CDATA[http://www.bitpipe.com/detail/RES/1201804491_607.html?asrc=RSS_BP_TERM]]></link>
		<description><![CDATA[
    While many small or medium&#45;size companies have relied on spreadsheet as their primary BI tool&#44; most of them have come to realize that this is a stopgap solution and one that&#39;s apt to lead to data chaos and inconsistent analysis results.
   Published by: Business Objects]]></description>
		<pubDate>Thu, 01 Nov 2007 24:00:00 EDT</pubDate> </item>  <item> <title><![CDATA[Oracle Database 11g for Data Warehousing and Business Intelligence]]></title> <link><![CDATA[http://www.bitpipe.com/detail/RES/1192481540_881.html?asrc=RSS_BP_TERM]]></link>
		<description><![CDATA[
    Learn about Oracle 11g's capabilities for data warehousing and business intelligence. Discover the features and technologies by which to integrate information, perform fast queries, scale to very large data volumes and more.
   Published by: Oracle Corporation]]></description>
		<pubDate>Mon, 01 Oct 2007 24:00:00 EDT</pubDate> </item>  </channel> </rss>

