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	<title>Beyond Data &#187; Business Intelligence</title>
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	<link>http://blog.vasukikasturi.com</link>
	<description>Tempered thoughts on Enterprise Data Management</description>
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		<title>10 mistakes to avoid for data warehouse project managers</title>
		<link>http://blog.vasukikasturi.com/bi/10-mistakes-to-avoid-for-data-warehouse-project-managers</link>
		<comments>http://blog.vasukikasturi.com/bi/10-mistakes-to-avoid-for-data-warehouse-project-managers#comments</comments>
		<pubDate>Thu, 29 Mar 2007 05:23:32 +0000</pubDate>
		<dc:creator>Vasuki Kasturi</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Data-Marts]]></category>
		<category><![CDATA[Data-Warehouse]]></category>

		<guid isPermaLink="false">http://blog.vasukikasturi.com/2007/03/29/10-mistakes-to-avoid-for-data-warehouse-project-managers/</guid>
		<description><![CDATA[This is an excerpt of the complete article on TDWI. The article, with the same title, is for members only. Hope you enjoy.
Mistake 1. Failing to Use a Methodology
Mistake 2. Ineffective Project Team Structure
Mistake 3. Failing to Involve the Business People
Mistake 4. Failing to Have Application Releases
Mistake 5. Failing to Have an Active Project Charter
Mistake [...]]]></description>
			<content:encoded><![CDATA[<p>This is an excerpt of the complete article on <a href="http://www.tdwi.org" target="_blank">TDWI</a>. The <a href="http://www.tdwi.org/Publications/display.aspx?Id=7545" target="_blank">article</a>, with the same title, is for members only. Hope you enjoy.</p>
<p><strong>Mistake 1. Failing to Use a Methodology<br />
</strong><strong>Mistake 2. Ineffective Project Team Structure<br />
</strong><strong>Mistake 3. Failing to Involve the Business People<br />
</strong><strong>Mistake 4. Failing to Have Application Releases<br />
</strong><strong>Mistake 5. Failing to Have an Active Project Charter<br />
</strong><strong>Mistake 6. Lack of a Readiness Assessment<br />
</strong><strong>Mistake 7. Inadequate Testing<br />
</strong><strong>Mistake 8. Underestimating Data Cleansing Efforts<br />
</strong><strong>Mistake 9. Ignoring Metadata<br />
</strong><strong>Mistake 10. Being a Slave to Project Management Tools</strong></p>
<p>Technorati Tags: <a href="http://technorati.com/tag/Data+Warehouse" rel="tag">Data Warehouse</a>, <a href="http://technorati.com/tag/Project+Managers" rel="tag"> Project Managers</a>, <a href="http://technorati.com/tag/Data+Marts" rel="tag"> Data Marts</a>, <a href="http://technorati.com/tag/Business+Intelligence" rel="tag"> Business Intelligence</a>, <a href="http://technorati.com/tag/Mistakes" rel="tag"> Mistakes</a></p>
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		<item>
		<title>Open Source &amp; Business Intelligence</title>
		<link>http://blog.vasukikasturi.com/bi/open-source-business-intelligence</link>
		<comments>http://blog.vasukikasturi.com/bi/open-source-business-intelligence#comments</comments>
		<pubDate>Thu, 23 Jun 2005 05:22:00 +0000</pubDate>
		<dc:creator>Vasuki Kasturi</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Data Integration]]></category>
		<category><![CDATA[Open Source]]></category>

		<guid isPermaLink="false">http://blog.vasukikasturi.com/?p=4</guid>
		<description><![CDATA[Business Intelligence helps us understand the details about customers that are crucial to the success of any organization. Traditionally these offerings are very expensive due to licensing fees for the several components. Of late, some momentum has been seen around Open Source and maturity of projects suitable for BI. But we have only heard of [...]]]></description>
			<content:encoded><![CDATA[<p>Business Intelligence helps us understand the details about customers that are crucial to the success of any organization. Traditionally these offerings are very expensive due to licensing fees for the several components. Of late, some momentum has been seen around Open Source and maturity of projects suitable for BI. But we have only heard of the adoption of Open Source in the Infrastructure layer &#8211; OS, database, App Servers etc. Very little attention has been paid to the software required to build and deliver Business Intelligence. That is, until now.</p>
<p>Lets take a subset of some of the BI offerings, and see how Open Source solutions match up against them.</p>
<ol>
<li>Databases: <a title="PostGres" href="http://www.postgresql.org/">PostGres (or Bizgres)</a> and <a title="mysql" href="http://www.mysql.com/">MySQL.</a></li>
<li>ETL: <a title="Octopus" href="http://octopus.objectweb.org/">Enhydra Octopus</a> and <a title="Clover" href="http://cloveretl.berlios.de/">Clover</a></li>
<li>OLAP: <a title="Mondrian" href="http://mondrian.sourceforge.net/">Mondrian</a> and <a title="GreenPlum" href="http://www.greenplum.com/">GreenPlum</a></li>
<li>Dashboards (Portal approach): <a title="JBoss" href="http://www.jboss.org/products/jbossportal">JBoss Portal</a>, <a title="JetSpeed" href="http://portals.apache.org/jetspeed-1/">JetSpeed</a>, LifeRay and Gluecode (now owned by IBM.</li>
<li>Reporting: <a title="Jasper" href="http://www.jaspersoft.com/jasper_report.php">Jasper Reports</a>, <a title="BIRT" href="http://www.eclipse.org/birt/">BIRT</a></li>
</ol>
<p>If this doesn&#8217;t sound promising, <a title="Pentaho" href="http://www.pentaho.org/">Pentaho </a>is planning a Open Source BI distribution that brings all of the above together and some more. This sounds very exciting for myself and for my <a title="Cignex" href="http://www.cignex.com">company</a>, which has been providing Open Source solutions for almost 5 years.<br /><p>Technorati Tags: <a href="http://technorati.com/tag/Pentaho" rel="tag"> Pentaho</a>, <a href="http://technorati.com/tag/JasperReports" rel="tag"> JasperReports</a>, <a href="http://technorati.com/tag/MySQL" rel="tag"> MySQL</a>, <a href="http://technorati.com/tag/JBoss" rel="tag"> JBoss</a>, <a href="http://technorati.com/tag/Portal" rel="tag"> Portal</a>, <a href="http://technorati.com/tag/Business+Intelligence" rel="tag"> Business Intelligence</a>, <a href="http://technorati.com/tag/BI" rel="tag"> BI</a></p>
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		<slash:comments>3</slash:comments>
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