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		<title><![CDATA[ Gartner: Data Management and Integration ]]></title> 
		<link><![CDATA[ http://www.gartner.com/it/products/research/asset_137953_2395.jsp ]]></link> 
		<description><![CDATA[ Gaining business value from information assets depends on the effective use of data management technologies and best practices. Key components include data integration, data quality, database management systems, data warehousing and enterprise information management. ]]></description> 
		<language>en-us</language> 
		<category><![CDATA[ Focus Area RSS Feed ]]></category> 
	
		 
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ The Differences, and Similarities, Between Operational MDM and Analytical MDM]]></title>
		<description><![CDATA[ Organizations can leverage master data management technology in their business applications (operational) and business intelligence (analytical) environments. Long-term MDM governance, however, should reside in the operational world. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=148580&ref=g_rss]]></link>
  	 <pubDate>Mon, 09 Nov 2009</pubDate>
	 <guid>1224313</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Organizing for Information Governance]]></title>
		<description><![CDATA[ Companies' expectations of the IT organization are changing. What matters to business people is information, not technology. Enterprises must execute organizational change to shift the focus of IT from technology to information. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=172224&ref=g_rss]]></link>
  	 <pubDate>Fri, 06 Nov 2009</pubDate>
	 <guid>1223113</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Q&A for Data Quality and Data Integration From Gartner's 2009 Master Data Management Summit]]></title>
		<description><![CDATA[ This research answers six common questions asked by attendees at Gartner's Master Data Management Summit held in Los Angeles from 5 to 7 October 2009, on how data integration and data quality support and complement master data management. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=172193&ref=g_rss]]></link>
  	 <pubDate>Fri, 06 Nov 2009</pubDate>
	 <guid>1222713</guid>
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   			<title><![CDATA[ Data Warehouse Architecture Best Practices and Guiding Principles]]></title>
		<description><![CDATA[ Gartner inquiries confirm that specific data architecture principles in the data warehouse add years to its life. Data architects and warehouse managers should implement data warehouse architectures using these best practices. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=171980&ref=g_rss]]></link>
  	 <pubDate>Fri, 06 Nov 2009</pubDate>
	 <guid>1221936</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Q&A on Organizing for MDM From Gartner's 2009 Master Data Management Summit]]></title>
		<description><![CDATA[ Master data management initiatives are more likely to fail because of people and organizational issues than as a result of architecture and technology. MDM projects need to be effectively organized. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=172253&ref=g_rss]]></link>
  	 <pubDate>Tue, 03 Nov 2009</pubDate>
	 <guid>1219713</guid>
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   			<title><![CDATA[ Symposium/ITxpo Poll Surprises on the Dynamic DC Vendors, Cloud's Importance and Familiarity With Future DC Concepts]]></title>
		<description><![CDATA[ Two vendors, of eight choices, were ranked highest by respondents for leadership in delivering on the promise of the dynamic data center, but two others also received strong recognition. The next 12 to 18 months will be crucial for choosing strategic vendors for modernizing and evolving the DC. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=172219&ref=g_rss]]></link>
  	 <pubDate>Fri, 30 Oct 2009</pubDate>
	 <guid>1217781</guid>
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   			<title><![CDATA[ Q&A: Critical Issues Facing Data Center Managers]]></title>
		<description><![CDATA[ The energy, space and technology problems facing data center managers will worsen in 2010. To overcome these challenges, they should focus on the critical questions addressed in this research. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=172282&ref=g_rss]]></link>
  	 <pubDate>Thu, 29 Oct 2009</pubDate>
	 <guid>1217721</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Creating an Effective Data Management Strategy for Aging Data]]></title>
		<description><![CDATA[ Effective storage strategies are based in large part on your data management strategy. Understanding and responding to new drivers for managing data as it ages will ensure a more cost-effective and relevant storage infrastructure. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=171982&ref=g_rss]]></link>
  	 <pubDate>Thu, 29 Oct 2009</pubDate>
	 <guid>1217728</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Data In the Cloud: Adaptations of Data Management Technologies and Providers]]></title>
		<description><![CDATA[ This research highlights how data management technologies are adapting to growing demand and gives examples of associated vendors in the growing, but still emerging market of data management-related "cloud" computing/software-as-a-service technologies. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=170895&ref=g_rss]]></link>
  	 <pubDate>Fri, 23 Oct 2009</pubDate>
	 <guid>1213914</guid>
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   			<title><![CDATA[ Best Practices in Data Transformation and Loading Architecture]]></title>
		<description><![CDATA[ Business intelligence solution architects and data warehouse architects should not allow the availability of well-balanced, inexpensive hardware (like DW appliances) to replace the many hours needed to deliver best practices during design time as a compromise for meeting time-to-market pressures. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=171741&ref=g_rss]]></link>
  	 <pubDate>Fri, 23 Oct 2009</pubDate>
	 <guid>1213813</guid>
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Predicts 2009: Master Data Management Is Applicable in Down Economies and in Times of Growth]]></title>
		<description><![CDATA[ Master data management deals with many business and IT initiatives, such as supporting cost cutting, revenue growth, customer service enhancement, compliance, and service-oriented architecture in more-complex, heterogeneous environments. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=164023&ref=g_rss]]></link>
  	 <pubDate>Fri, 19 Dec 2008</pubDate>
	 <guid>844016</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ The Enterprise Data Architect Role Description]]></title>
		<description><![CDATA[ The role of enterprise data architect is often missing in an organization or is present but lacks authority. Gartner describes how organizations have created a respected role that contributes in a highly significant manner to the success of enterprise information management programs. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=160484&ref=g_rss]]></link>
  	 <pubDate>Fri, 10 Oct 2008</pubDate>
	 <guid>775214</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Tutorial: Basics of Data Warehouse Governance]]></title>
		<description><![CDATA[ Data warehouse governance and stewardship is actually an information management activity. Gartner provides some basic guidelines for enhancing the long-term effectiveness of the data warehouse and highlights common mistakes to avoid. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=158033&ref=g_rss]]></link>
  	 <pubDate>Thu, 19 Jun 2008</pubDate>
	 <guid>700112</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Ten Starting Points for Integrating Unstructured Content]]></title>
		<description><![CDATA[ Information architects and those in other business and IT roles can choose from several methods for integrating documents and other forms of content. The right mix of methods will unlock the value of unstructured content. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=160265&ref=g_rss]]></link>
  	 <pubDate>Mon, 08 Sep 2008</pubDate>
	 <guid>754113</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ The Data Architect's Primer on Metadata]]></title>
		<description><![CDATA[ Metadata is a primary tool in the data architect's tool box. Here we explain how metadata, and delivering on a robust data architecture, come together to create an important part of your systems' data architecture guidelines. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=160025&ref=g_rss]]></link>
  	 <pubDate>Tue, 09 Sep 2008</pubDate>
	 <guid>754914</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Creating a Business Case for Master Data Management]]></title>
		<description><![CDATA[ Master data management program managers should use a multistep business case development process to increase engagement with the business and to create measurable key performance indicators to demonstrate business value. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=160270&ref=g_rss]]></link>
  	 <pubDate>Thu, 14 Aug 2008</pubDate>
	 <guid>741923</guid>  
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      <item>       
  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Data In the Cloud: Adaptations of Data Management Technologies and Providers]]></title>
		<description><![CDATA[ This research highlights how data management technologies are adapting to growing demand and gives examples of associated vendors in the growing, but still emerging market of data management-related "cloud" computing/software-as-a-service technologies. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=170895&ref=g_rss]]></link>
  	  <pubDate>Fri, 23 Oct 2009</pubDate>
	 <guid>1213914</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ 2009 Sees Increased Adoption of Open-Source Data Integration Tools]]></title>
		<description><![CDATA[ Economic challenges are driving more organizations to consider open-source solutions as a lower-cost entry point into the data integration tools market. Deployments are increasing, with scope and use-case profiles rapidly progressing toward alignment with those of commercially-licensed offerings. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=171109&ref=g_rss]]></link>
  	  <pubDate>Fri, 18 Sep 2009</pubDate>
	 <guid>1183414</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Cool Vendors in Data Management and Integration, 2009]]></title>
		<description><![CDATA[ Organizations increasingly want to control and exploit a range of data for diverse uses and, in the process, make that data part of their business infrastructure. Our cool vendors for 2009 reflect trends in how data is being made persistent and integrated using emerging technologies and approaches. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165365&ref=g_rss]]></link>
  	  <pubDate>Fri, 13 Mar 2009</pubDate>
	 <guid>912615</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Reduce Costs of Data Integration Tools Licensing Through Improved Negotiation and Procurement Practices]]></title>
		<description><![CDATA[ Enterprises can save $100,000 or more on investments in data integration tools through effective vendor management approaches. Achieving these results requires a clear understanding of vendors' pricing models, knowledge of pricing trends in the market and effective use of negotiation techniques. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165687&ref=g_rss]]></link>
  	  <pubDate>Wed, 25 Feb 2009</pubDate>
	 <guid>897812</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Findings for Data Management: Cloud Morphing As A Step Toward Improving Data Sharing In the Cloud]]></title>
		<description><![CDATA[ Emerging capabilities for more seamless data access between "cloud"-based applications will create new opportunities for users. Improved data management in the cloud is essential to deliver, consume and integrate diverse data sets more efficiently. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=164748&ref=g_rss]]></link>
  	  <pubDate>Mon, 26 Jan 2009</pubDate>
	 <guid>865113</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Predicts 2009: Technology Changes Will Shape the Future of Data Management and Integration]]></title>
		<description><![CDATA[ Organizations increasingly aim to access and leverage data across the business, making information part of the business infrastructure. Our predictions focus on the user demands, emerging practices and technology changes which will shape the future of data management and integration infrastructure. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=162974&ref=g_rss]]></link>
  	  <pubDate>Fri, 12 Dec 2008</pubDate>
	 <guid>836912</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Roundup of Master Data Management and Related Research, 4Q08]]></title>
		<description><![CDATA[ This research highlights Gartner's most-recent and key research on master data management and related topics. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=162429&ref=g_rss]]></link>
  	  <pubDate>Thu, 30 Oct 2008</pubDate>
	 <guid>788824</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Survey Highlights Trends in Organization, Procurement and Standardization Practices for Data Integration]]></title>
		<description><![CDATA[ A recent Gartner survey found that an increasing number of enterprises are centralizing their data integration resources. However, they must do more to realize the full benefits of strategic data integration, such as establishing and enforcing standards. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=161416&ref=g_rss]]></link>
  	  <pubDate>Fri, 19 Sep 2008</pubDate>
	 <guid>760113</guid>   
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Findings for Data Management: The Changing Nature of Data Quality Demanded 'As a Service']]></title>
		<description><![CDATA[ Enterprise approaches for deploying data quality tools and capabilities are slowly changing. Data quality technologies are required to meet emerging "as a service" demands for off-premises deployments. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=170842&ref=g_rss]]></link>
  	 <pubDate>Fri, 23 Oct 2009</pubDate>
	 <guid>1213913</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Who's Who in Open-Source Data Quality]]></title>
		<description><![CDATA[ A decade after open-source business intelligence started and a few years after initial open-source data integration projects kicked off, the next open-source data management space is being targeted: open-source data quality tools. But capabilities are still far behind established commercial vendors. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=171231&ref=g_rss]]></link>
  	 <pubDate>Mon, 19 Oct 2009</pubDate>
	 <guid>1209334</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Data Consistency and SOA: Old Challenges Rear Their Ugly Heads]]></title>
		<description><![CDATA[ As organizations apply service-oriented architecture to their designs, they are faced with many challenges that previously had been the province of massively distributed systems. These challenges, such as how to manage data consistency, demand rethinking some long-held assumptions. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=170094&ref=g_rss]]></link>
  	 <pubDate>Fri, 18 Sep 2009</pubDate>
	 <guid>1183313</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Findings From Primary Research Study: Organizations Perceive Significant Cost Impact From Data Quality Issues]]></title>
		<description><![CDATA[ In a recent Gartner study, participants estimated that, on average, they are losing more than $8 million annually because of data quality issues. In difficult economic times, organizations of all types must focus on controlling and improving data quality to minimize disruptions and losses. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=170011&ref=g_rss]]></link>
  	 <pubDate>Fri, 14 Aug 2009</pubDate>
	 <guid>1131012</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ 2009 Survey on Data Quality Tools Highlights Broadening Deployments With Focus on Proven Functionality]]></title>
		<description><![CDATA[ The data quality tools market continues to experience substantial growth despite challenging economic conditions. A Gartner study of data quality tools deployments identifies broadening usage and deployment patterns, but also some ongoing challenges. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=170331&ref=g_rss]]></link>
  	 <pubDate>Fri, 14 Aug 2009</pubDate>
	 <guid>1131217</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ BIIM Asia/Pacific Summit Workshop on Data Quality Highlights Concerns and Opportunities for Actions]]></title>
		<description><![CDATA[ Poor data quality is a business issue with the potential for a large, negative impact that often gets overlooked. At our Business Intelligence and Information Management Asia/Pacific Summit, 2009, workshop delegates brainstormed and collaborated to address and answer data quality challenges. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=166399&ref=g_rss]]></link>
  	 <pubDate>Thu, 09 Apr 2009</pubDate>
	 <guid>934113</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Data Stewardship Case Studies Show Increased Organizational Focus on Data Quality and Information Governance]]></title>
		<description><![CDATA[ The data steward role is a critical organizational component for data quality improvement and broader information governance initiatives. Examples of data stewardship approaches reveal alternative structures, emerging best practices and successes to emulate. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=164977&ref=g_rss]]></link>
  	 <pubDate>Tue, 03 Feb 2009</pubDate>
	 <guid>873329</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ IDQ Conference Showcases Trends and Best Practices in Data Quality]]></title>
		<description><![CDATA[ The Information and Data Quality conference is a key forum for data quality practitioners to share and evolve best practices. The event reflected the continued interest in the topic across industries and geographies, and highlighted key trends. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=163110&ref=g_rss]]></link>
  	 <pubDate>Fri, 28 Nov 2008</pubDate>
	 <guid>820912</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Survey Highlights the Opportunity for Deploying Tools as Part of Data Quality Initiatives in Asia/Pacific]]></title>
		<description><![CDATA[ Gartner's July 2008 survey of end-user firms in Asia/Pacific looked at the adoption of data quality technology tools as part of their data quality improvement plans. Results show the appeal of these tools and their deployment in conventional and alternative delivery models. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=160947&ref=g_rss]]></link>
  	 <pubDate>Thu, 18 Sep 2008</pubDate>
	 <guid>759517</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Microsoft Zooms In on Data Quality Market]]></title>
		<description><![CDATA[ Microsoft has agreed to buy Zoomix, an Israeli vendor of data quality software, to fill a hole in its product portfolio. But the deal comes late and won't change the market's dynamics significantly. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=160145&ref=g_rss]]></link>
  	 <pubDate>Fri, 29 Aug 2008</pubDate>
	 <guid>749312</guid>
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Open-Source DBMS 2009; Gaining in Maturity and Use]]></title>
		<description><![CDATA[ As open-source database management system engines mature, coupled with the current economic environment, the use of open-source DBMSs is on the rise in a broader category of applications, including those which are mission-critical. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=171095&ref=g_rss]]></link>
  	 <pubDate>Fri, 18 Sep 2009</pubDate>
	 <guid>1183714</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ IBM DB2 9.7 Shakes Up the DBMS Market With Oracle Compatibility]]></title>
		<description><![CDATA[ A feature in the IBM DB2 9.7 that will enable users to more easily replace the Oracle database management system with the DB2 DBMS has important implications for the commercial, off-the-shelf software applications community. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=167786&ref=g_rss]]></link>
  	 <pubDate>Wed, 29 Apr 2009</pubDate>
	 <guid>955220</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Cost Optimization with Open-Source DBMSs]]></title>
		<description><![CDATA[ There is much hype in the industry about using open-source software to realize cost reductions. Open-source database management systems have this potential when used with appropriate applications, gaining rapid return on investment. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=167616&ref=g_rss]]></link>
  	 <pubDate>Wed, 29 Apr 2009</pubDate>
	 <guid>955912</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Vendor Guide: Master Data Management, 2009]]></title>
		<description><![CDATA[ The master data management market is being targeted by software vendors from many parts of the IT market. This research highlights the primary groups and vendors addressing core MDM, as well as those supporting technologies. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=164891&ref=g_rss]]></link>
  	 <pubDate>Fri, 17 Apr 2009</pubDate>
	 <guid>941613</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Key Issues for Oracle Research, 2009]]></title>
		<description><![CDATA[ Oracle is a software megavendor with a broad set of products in business applications, infrastructure and database management systems. We examine Oracle's strategies, opportunities and challenges as well as the key issues in 2009 and beyond. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165399&ref=g_rss]]></link>
  	 <pubDate>Fri, 13 Mar 2009</pubDate>
	 <guid>912617</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Risks and Challenges in Data Migrations and Conversions]]></title>
		<description><![CDATA[ As organizations work on modernizing their IT infrastructure and streamlining their operations to reduce costs, projects involving data migrations and conversions are growing more commonplace. However, a number of substantial challenges, if overlooked or underestimated, limit chances of success. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165710&ref=g_rss]]></link>
  	 <pubDate>Wed, 25 Feb 2009</pubDate>
	 <guid>897512</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Choosing the Appropriate Database Management System Platform for SAP]]></title>
		<description><![CDATA[ Although SAP Business Suite runs equally well on IBM, Microsoft and Oracle, there is increasing pressure, tilting the playing field away from Oracle. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=164093&ref=g_rss]]></link>
  	 <pubDate>Tue, 23 Dec 2008</pubDate>
	 <guid>845815</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ The Growing Maturity of Open-Source Database Management Systems]]></title>
		<description><![CDATA[ Open-source database management systems continue to mature and with the global desire for cost savings, are gaining increased visibility for production systems. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=163259&ref=g_rss]]></link>
  	 <pubDate>Fri, 28 Nov 2008</pubDate>
	 <guid>820812</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ How Open Source Impacts the RDBMS Forecast]]></title>
		<description><![CDATA[ In the relational database management system market, open-source software is being adopted in two areas: open-source RDBMSs and open-source operating systems, specifically Linux, as a platform on which to run an RDBMS. Both areas are expected to impact the RDBMS forecast from 2008 through 2009. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=163094&ref=g_rss]]></link>
  	 <pubDate>Fri, 21 Nov 2008</pubDate>
	 <guid>811812</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Gartner Survey Shows SaaS Offers Emerging Alternatives in Data Management]]></title>
		<description><![CDATA[ Software as a service is gaining acceptance as a delivery model for data management, according to a recent Gartner survey. The data quality, data integration and data warehousing segments show early adoption, but clients should remain cautious. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=160866&ref=g_rss]]></link>
  	 <pubDate>Fri, 19 Sep 2008</pubDate>
	 <guid>760114</guid> 
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Best Practices in Data Transformation and Loading Architecture]]></title>
		<description><![CDATA[ Business intelligence solution architects and data warehouse architects should not allow the availability of well-balanced, inexpensive hardware (like DW appliances) to replace the many hours needed to deliver best practices during design time as a compromise for meeting time-to-market pressures. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=171741&ref=g_rss]]></link>
  	 <pubDate>Fri, 23 Oct 2009</pubDate>
	 <guid>1213813</guid>
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    <item>       
  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Understanding Market Drivers for Independent Data Marts]]></title>
		<description><![CDATA[ Independent data marts are on the rise. It is important for architects and data warehouse managers to understand that marts have a specific role in the broader range of best practices for analytics and are not stand-alone solutions. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=169134&ref=g_rss]]></link>
  	 <pubDate>Thu, 02 Jul 2009</pubDate>
	 <guid>1057212</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Data Center Market in India: Beware the Dangers of Fast Growth]]></title>
		<description><![CDATA[ The Indian data center market will see rapid expansion, growing by a 31% compound annual growth rate in terms of capacity during the next five years. With basic infrastructure maturing at a slower rate than the demand for new data center facilities, users need to carefully assess development plans. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=161374&ref=g_rss]]></link>
  	 <pubDate>Thu, 30 Oct 2008</pubDate>
	 <guid>789012</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Survey: Organizations Willingly Accept Ignorance of Data Architectures]]></title>
		<description><![CDATA[ A recent Gartner user survey revealed wider adoption of tool-based data integration or marts. This, combined with a lack of knowledge of underlying architectures, indicates that organizations are willing to accept prebuilt solutions versus pursuing custom coding. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=159290&ref=g_rss]]></link>
  	 <pubDate>Fri, 04 Jul 2008</pubDate>
	 <guid>714207</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Roundup of Master Data Management and Related Research, 1Q08]]></title>
		<description><![CDATA[ This reference guide highlights Gartner's most-recent and key research on master data management and related topics. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=155705&ref=g_rss]]></link>
  	 <pubDate>Tue, 18 Mar 2008</pubDate>
	 <guid>626009</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Predicts 2008: Master Data Management]]></title>
		<description><![CDATA[ MDM supports numerous business initiatives regarding revenue and customer service enhancements, cost efficiencies and regulatory compliance, and service-oriented architecture. Gartner predictions highlight the complexity, technology and market evolution of MDM. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=154166&ref=g_rss]]></link>
  	 <pubDate>Mon, 25 Feb 2008</pubDate>
	 <guid>610609</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Questions About IBM's Open Infrastructure Offering From the U.S. Data Center Conference]]></title>
		<description><![CDATA[ IBM's Open Infrastructure Offering involves complex negotiations and accurate planning; however, when done properly, it can deliver significant financial benefits. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=154725&ref=g_rss]]></link>
  	 <pubDate>Mon, 04 Feb 2008</pubDate>
	 <guid>595307</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Tactical Guideline: How Data Mart Consolidation Can Improve Information Management and Reduce Costs]]></title>
		<description><![CDATA[ Enterprises must use accurate, timely information to control profit and loss better, and to stay competitive. Consolidating critical information across data marts and unintegrated sources can strategically improve the elements that are critical to a company's survival. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=156097&ref=g_rss]]></link>
  	 <pubDate>Fri, 28 Mar 2008</pubDate>
	 <guid>633708</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Gartner Survey Suggests Extensive Data Center Expansion Plans Are on the Horizon]]></title>
		<description><![CDATA[ In 4Q07, Gartner conducted a survey of nearly 300 data center executives to learn about their data centers and their plans for the next several years. Approximately 50% of the respondents plan to build new data centers. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=154962&ref=g_rss]]></link>
  	 <pubDate>Mon, 11 Feb 2008</pubDate>
	 <guid>600309</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ 2009 Survey on Data Quality Tools Highlights Broadening Deployments With Focus on Proven Functionality]]></title>
		<description><![CDATA[ The data quality tools market continues to experience substantial growth despite challenging economic conditions. A Gartner study of data quality tools deployments identifies broadening usage and deployment patterns, but also some ongoing challenges. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=170331&ref=g_rss]]></link>
  	 <pubDate>Fri, 14 Aug 2009</pubDate>
	 <guid>1131217</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Information as a Service Is a Vital Part of Using Services in the Cloud]]></title>
		<description><![CDATA[ Many organizations are unprepared to address information delivery challenges when engaging in cloud computing and adopting emergent cloud-based services. IT leaders must recognize and address the diverse business demand for accessing data in the cloud. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=169452&ref=g_rss]]></link>
  	 <pubDate>Fri, 17 Jul 2009</pubDate>
	 <guid>1079612</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ How Midmarket CIOs Overcome Information Management Constraints]]></title>
		<description><![CDATA[ CIOs of midsize enterprises seeking to proactively exploit information for their company must be prepared to mitigate resistance from business units that are less accustomed to formalized practices for establishing information management discipline. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=169688&ref=g_rss]]></link>
  	 <pubDate>Thu, 16 Jul 2009</pubDate>
	 <guid>1078312</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Enterprise Information Management: A Requirement for Enterprise-Scale Business Intelligence and Performance Management Initiatives]]></title>
		<description><![CDATA[ Succeeding in enterprisewide business intelligence and performance management initiatives requires the framework provided by enterprise information management. We show how to link the two initiatives for a greater chance of project success. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=169152&ref=g_rss]]></link>
  	 <pubDate>Thu, 02 Jul 2009</pubDate>
	 <guid>1056014</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Five Best Practices for Avoiding ECM Project Failure]]></title>
		<description><![CDATA[ Failing to understand user requirements, obtain the necessary sponsorship and address change management are among the primary reasons why some enterprise content management projects fail. Learn how to ensure your initiative succeeds. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=169366&ref=g_rss]]></link>
  	 <pubDate>Wed, 01 Jul 2009</pubDate>
	 <guid>1053824</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Overview for an Information Valuation Project, 2009]]></title>
		<description><![CDATA[ Enterprises have traditionally found it challenging to measure the value of information assets through conventional means. Doing so is important to their information management strategy. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=168560&ref=g_rss]]></link>
  	 <pubDate>Fri, 19 Jun 2009</pubDate>
	 <guid>1029713</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Key Issues for Enterprise Information Management Initiatives, 2009]]></title>
		<description><![CDATA[ Information is a strategic asset and must be managed as such. Enterprise information management is a comprehensive approach to managing this valuable asset. Gartner's research in 2009 will provide guidance on establishing and executing a staged but complete EIM initiative. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165751&ref=g_rss]]></link>
  	 <pubDate>Fri, 13 Mar 2009</pubDate>
	 <guid>912316</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Information Infrastructure Drives Business Efficiency]]></title>
		<description><![CDATA[ An information infrastructure enables the IT organization to respond to business needs faster and at less cost. CIOs should understand the benefit of information infrastructure so they can write compelling business cases for it. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165689&ref=g_rss]]></link>
  	 <pubDate>Mon, 02 Mar 2009</pubDate>
	 <guid>904512</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Tactical Enterprise Information Management Now, Strategic EIM Later; a Minority Report at the EMEA BI Summit]]></title>
		<description><![CDATA[ A minority of attendees at the Europe, Middle East and Africa Business Intelligence Summit 2009 report they are positioning to use enterprise information management as a break-out strategy when the economic upturn takes place. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165426&ref=g_rss]]></link>
  	 <pubDate>Fri, 20 Feb 2009</pubDate>
	 <guid>892314</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Video Killed The Document Czar]]></title>
		<description><![CDATA[ The popularity of video content in enterprises is sure to explode on the heels of a consumerist fascination with it on the Web. Content management is evolving to include images, audio and video. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=160060&ref=g_rss]]></link>
  	 <pubDate>Fri, 07 Nov 2008</pubDate>
	 <guid>794812</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Metadata Business Threats and Opportunities]]></title>
		<description><![CDATA[ Metadata describes an organization's information assets. It is pervasive in the enterprise and, therefore, raises opportunities and threats that require metadata management. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=169444&ref=g_rss]]></link>
  	 <pubDate>Tue, 28 Jul 2009</pubDate>
	 <guid>1097212</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ A Master Vocabulary for Ensuring Consistency Across Information Management Disciplines]]></title>
		<description><![CDATA[ Although information management disciplines share common goals of information consistency and usability, they lack ways of discussing concepts and coordinating efforts. Enterprise information architecture guides such activities to ensure organizations gain business value from enterprise information. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165576&ref=g_rss]]></link>
  	 <pubDate>Thu, 02 Jul 2009</pubDate>
	 <guid>1057112</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Q&A: Key Questions on Information Management and MDM]]></title>
		<description><![CDATA[ Clients continue to struggle to reconcile master data management, business intelligence and data warehousing, as well as data management in general. At Gartner's 2008 MDM Summit, several consistent themes arose from users' ongoing one-to-one inquiries. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165390&ref=g_rss]]></link>
  	 <pubDate>Thu, 09 Apr 2009</pubDate>
	 <guid>934218</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Metadata Management Trends in Master Data Management and Data Warehousing]]></title>
		<description><![CDATA[ There are numerous approaches to managing metadata for master data management and data warehousing initiatives, ranging from using the capabilities found in tool suites to implementing metadata marts and warehouses. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165271&ref=g_rss]]></link>
  	 <pubDate>Mon, 16 Mar 2009</pubDate>
	 <guid>913422</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Creating an MDM Vision, Strategy and Road Map]]></title>
		<description><![CDATA[ The first steps in an organization's master data management program should be the creation of a business-oriented MDM vision, strategy and road map, backed up by a strong business case. This research outlines what an MDM vision and strategy should look like, and how it should be created. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165636&ref=g_rss]]></link>
  	 <pubDate>Thu, 12 Mar 2009</pubDate>
	 <guid>911718</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Key Issues for Master Data Management, 2009]]></title>
		<description><![CDATA[ In 2009, Gartner research will help organizations successfully plan, execute and optimize their master data management initiatives. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165723&ref=g_rss]]></link>
  	 <pubDate>Thu, 05 Mar 2009</pubDate>
	 <guid>906936</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ U.S. Customs 10+2 Legislation Is a MDM Tsunami That Threatens Unprepared Importers]]></title>
		<description><![CDATA[ U.S. Customs Border Patrol (U.S. CBP) 10+2 legislation became effective on 26 January 2009, yet few importers are prepared for the impact on their organizations. 10+2 demands immediate attention by importers and evolved master data management strategies for addressing the new data elements. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=164919&ref=g_rss]]></link>
  	 <pubDate>Tue, 03 Feb 2009</pubDate>
	 <guid>873323</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Predicts 2009: Master Data Management Is Applicable in Down Economies and in Times of Growth]]></title>
		<description><![CDATA[ Master data management deals with many business and IT initiatives, such as supporting cost cutting, revenue growth, customer service enhancement, compliance, and service-oriented architecture in more-complex, heterogeneous environments. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=164023&ref=g_rss]]></link>
  	 <pubDate>Fri, 19 Dec 2008</pubDate>
	 <guid>844016</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Unstructured Metadata: Confusing Term, Still Useful Data]]></title>
		<description><![CDATA[ Unstructured metadata has become a popular term, but it's potentially misleading. Distinguishing between different types of metadata should not distract from its real purpose: to add value to the information it describes. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=162032&ref=g_rss]]></link>
  	 <pubDate>Mon, 08 Dec 2008</pubDate>
	 <guid>831612</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Tutorial: Gartner Clarifies the Definition of Metadata]]></title>
		<description><![CDATA[ Gartner's research will help IT managers break deadlocks within the organization on the question of what constitutes metadata. Organizations should aim for rough consensus on what metadata is to enable better use of it throughout the enterprise. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=156773&ref=g_rss]]></link>
  	 <pubDate>Fri, 27 Jun 2008</pubDate>
	 <guid>708407</guid>
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  <category><![CDATA[Magic Quadrants and MarketScopes]]></category> 
   			<title><![CDATA[ Magic Quadrant for Data Quality Tools]]></title>
		<description><![CDATA[ The data quality tools market continues to grow despite economic conditions, as organizations invest in master data management and information governance. Vendors and buyers are pursuing innovations to improve support for business-facing roles and increase the pervasiveness of data quality controls. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=167657&ref=g_rss]]></link>
  	 <pubDate>Tue, 09 Jun 2009</pubDate>
	 <guid>1011714</guid>  
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  <category><![CDATA[Hype Cycles]]></category> 
   			<title><![CDATA[ Hype Cycle for Enterprise Information Management, 2009]]></title>
		<description><![CDATA[ The Hype Cycle for Enterprise Information Management, 2009, is a new entrant. It covers the broad range of technologies and capabilities used to effectively manage information as an asset and deliver information as a part of a business service inside or outside the enterprise. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=167472&ref=g_rss]]></link>
  	 <pubDate>Mon, 27 Jul 2009</pubDate>
	 <guid>1095312</guid>
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  <category><![CDATA[Hype Cycles]]></category> 
   			<title><![CDATA[ Hype Cycle for Data Management, 2009]]></title>
		<description><![CDATA[ Data management technologies and best practices are evolving rapidly. This Hype Cycle can help companies understand the relative maturity of these technologies and best practices, as well as the benefits of adopting them and the key factors behind their successful deployment. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=168171&ref=g_rss]]></link>
  	 <pubDate>Fri, 24 Jul 2009</pubDate>
	 <guid>1092712</guid>
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  <category><![CDATA[Hype Cycles]]></category> 
   			<title><![CDATA[ Hype Cycle for Master Data Management, 2009]]></title>
		<description><![CDATA[ Some firms are suffering in the face of economic turmoil; others are making plans to ride a wave of growth when the economy rebounds. MDM is being looked at increasingly by users as a means to help with cost optimization, as well as an enabler for growth and future business transformation. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=169421&ref=g_rss]]></link>
  	 <pubDate>Fri, 24 Jul 2009</pubDate>
	 <guid>1092612</guid>
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  <category><![CDATA[Hype Cycles]]></category> 
   			<title><![CDATA[ Hype Cycle for Data and Application Security, 2009]]></title>
		<description><![CDATA[ Enterprise boundaries continue to blur as data is shared across the Internet between partner organizations and unmanaged endpoints, increasing concerns about data leakage and manipulation. This is encouraging greater use of application layer and data layer security controls. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=168605&ref=g_rss]]></link>
  	 <pubDate>Fri, 17 Jul 2009</pubDate>
	 <guid>1080312</guid>
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  <category><![CDATA[Vendor Ratings]]></category> 
   			<title><![CDATA[ Vendor Rating: IBM]]></title>
		<description><![CDATA[ This research is Gartner's 2009 vendor rating for IBM. It evaluates the entire company and its offerings. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=167132&ref=g_rss]]></link>
  	 <pubDate>Tue, 26 May 2009</pubDate>
	 <guid>992912</guid>
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  <category><![CDATA[Vendor Ratings]]></category> 
   			<title><![CDATA[ Cool Vendors 2009: Changing Models and Changing Times]]></title>
		<description><![CDATA[ Even during worldwide economic disruption, the ability and need to innovate continues. It is important that companies make their technology decisions based on conservatism and innovation. The best investments will have both of these elements, which is the focus of this year's Cool Vendors report. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=167666&ref=g_rss]]></link>
  	 <pubDate>Wed, 22 Apr 2009</pubDate>
	 <guid>944926</guid>
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  <category><![CDATA[Vendor Ratings]]></category> 
   			<title><![CDATA[ Cool Vendors in Master Data Management, 2009]]></title>
		<description><![CDATA[ This research provides examples of cool vendors and technologies in 2009 that address niche areas in the master data management market, complementary to organizations' main MDM investments. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=165368&ref=g_rss]]></link>
  	 <pubDate>Wed, 04 Mar 2009</pubDate>
	 <guid>906518</guid>
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  <category>Spotlights</category>
   			<title><![CDATA[ Data In the Cloud: Adaptations of Data Management Technologies and Providers]]></title>
		<description><![CDATA[ This research highlights how data management technologies are adapting to growing demand and gives examples of associated vendors in the growing, but still emerging market of data management-related "cloud" computing/software-as-a-service technologies. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=170895&ref=g_rss]]></link>
    </item>
      


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<category>Events</category>
 			<title><![CDATA[ Symposium/ITxpo Worlwide]]></title> 
  	
										<link><![CDATA[http://www.gartner.com/2_events/symposium/worldwide.html]]></link>
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<category>Events</category>
 			<title><![CDATA[ Gartner 28th Annual Data Center Conference]]></title> 
  	
										<link><![CDATA[http://www.gartner.com/it/page.jsp?id=851712]]></link>
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