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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[News Analysis]]></category> 
	 							<title><![CDATA[ Oracle Adds Datanomic to Its Disparate Mix of Data Quality Tools]]></title>
		<description><![CDATA[ The acquisition of Datanomic will provide Oracle with technology to fill the gap of a multi-domain data quality tool, but the offering will need some time to be truly competitive. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=212660&ref=g_rss]]></link>
  					<pubDate>Mon, 18 Apr 2011</pubDate>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Three Trends That Will Shape the Master Data Management Market]]></title>
		<description><![CDATA[ This document examines three trends that will change the master data management market through 2015. They concern multidomain MDM, MDM in the cloud, and the meeting of MDM and social networking. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211236&ref=g_rss]]></link>
  	 <pubDate>Thu, 21 Apr 2011</pubDate>
	 <guid>1646118</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Different Approaches or Usage Patterns for MDM and Their Implications]]></title>
		<description><![CDATA[ Master data management approaches or usage patterns can take many forms. This research weighs up the pros and cons of the "virtual" vs. the "physical" approach to creating a golden record and highlights the differences between workflow and transactional approaches. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211237&ref=g_rss]]></link>
  	 <pubDate>Thu, 21 Apr 2011</pubDate>
	 <guid>1647721</guid>
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   			<title><![CDATA[ Cool Vendors in MDM, 2011]]></title>
		<description><![CDATA[ This research highlights cool vendors that have applicability to the master data management discipline. MDM program managers and architects should consider the need for such vendors and technologies to complement their main MDM technology investments. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211385&ref=g_rss]]></link>
  	 <pubDate>Thu, 21 Apr 2011</pubDate>
	 <guid>1645615</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Cool Vendors in Data Management and Integration, 2011]]></title>
		<description><![CDATA[ There are many innovative new vendors in the field of data management and integration. We profile four that can help organizations meet the challenges presented by rising volumes of data, increasing variety of data, and the need to make that data available for use more quickly. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211777&ref=g_rss]]></link>
  	 <pubDate>Mon, 18 Apr 2011</pubDate>
	 <guid>1637718</guid>
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   			<title><![CDATA[ The Top Three Reasons Why Your Next High-End Data Center Appliance Will Be Virtualized]]></title>
		<description><![CDATA[ During the next five years, data center appliances will increasingly be deployed as virtual machines. Gartner explains why this approach is viable, and highly desirable, and provides guidance to data center architects that are responsible for data center design or refresh. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211919&ref=g_rss]]></link>
  	 <pubDate>Fri, 15 Apr 2011</pubDate>
	 <guid>1634918</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Data Warehouse Justification vs. Tactical Uses of Unintegrated Information]]></title>
		<description><![CDATA[ Organizations supporting analysis tools that have seen isolated success based on unintegrated information will be reluctant to deploy an enterprise data warehouse. CIOs and IT leaders can justify enterprise warehouses by demonstrating that competing versions of information impede corporate success. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=212531&ref=g_rss]]></link>
  	 <pubDate>Thu, 14 Apr 2011</pubDate>
	 <guid>1632915</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Overview for Modernizing the Delivery of Data Management Capabilities, 2011]]></title>
		<description><![CDATA[ Data management needs remain, and are likely to grow as enterprises adopt alternative ways to gain IT capabilities. The need to access, integrate and deliver data related to these capabilities presents new opportunities and challenges that IT leaders must address. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210860&ref=g_rss]]></link>
  	 <pubDate>Wed, 13 Apr 2011</pubDate>
	 <guid>1631115</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ Customer Experiences With Oracle Hyperion Data Relationship Management]]></title>
		<description><![CDATA[ Tools are emerging that can manage master data for some forms of traditional business intelligence content, such as dimensional hierarchies. These tools manage downstream analytical applications, as well as more upstream operational applications. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210743&ref=g_rss]]></link>
  	 <pubDate>Mon, 11 Apr 2011</pubDate>
	 <guid>1626516</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ 'Big Data' Is Only the Beginning of Extreme Information Management]]></title>
		<description><![CDATA[ Although the term "big data" overemphasizes the issue of information volume, it does serve as a useful way to start a conversation about the multiple dimensions required of a modern information management strategy. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211490&ref=g_rss]]></link>
  	 <pubDate>Thu, 07 Apr 2011</pubDate>
	 <guid>1622715</guid>
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  <category><![CDATA[Featured Research]]></category> 
   			<title><![CDATA[ CEO Advisory: 'Big Data' Equals Big Opportunity]]></title>
		<description><![CDATA[ "Big data" is a force that is already disrupting traditional understanding and business models. It ushers in a new era of digitally accelerated business models that have the potential to deliver substantive new revenue and competitive advantage. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211628&ref=g_rss]]></link>
  	 <pubDate>Thu, 31 Mar 2011</pubDate>
	 <guid>1614215</guid>
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Key Issues for Data Management and Integration, 2011]]></title>
		<description><![CDATA[ Gartner's 2011 research on data management and integration will focus on the profound implications of the growing chasm between enterprises that are modernizing their environments and enterprises that continue to run their current systems. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=208941&ref=g_rss]]></link>
  	 <pubDate>Tue, 22 Feb 2011</pubDate>
	 <guid>1555314</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Predicts 2011: New Relationships Will Change BI and Analytics]]></title>
		<description><![CDATA[ New devices, new functions, new types of providers and new uses will alter the way enterprises buy and use business intelligence and analytic applications. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=209225&ref=g_rss]]></link>
  	 <pubDate>Thu, 25 Nov 2010</pubDate>
	 <guid>1478114</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Predicts 2011: Enterprise Information Management Programs Connect IT and Business]]></title>
		<description><![CDATA[ In 2011, successful enterprise information management programs will focus on success metrics that concentrate on growing the business, in line with new executive expectations for the IT function. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=208054&ref=g_rss]]></link>
  	 <pubDate>Thu, 25 Nov 2010</pubDate>
	 <guid>1478314</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Predicts 2011: Master Data Management Is Important in a Tough Economy, and More Important in Growth]]></title>
		<description><![CDATA[ MDM provides the necessary business-oriented discipline to sustain a "single version of the truth" across the enterprise. MDM is central to organizations focused on leveraging information to reduce business risk and cost, and to improve compliance, growth or transformative strategies. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=208953&ref=g_rss]]></link>
  	 <pubDate>Thu, 11 Nov 2010</pubDate>
	 <guid>1468020</guid>  
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  <category><![CDATA[The Basics]]></category> 
   			<title><![CDATA[ Best Practices in Organizing for Data Integration Shared Services]]></title>
		<description><![CDATA[ Enterprises can increase their flexibility and lower costs by taking a shared-service approach to data integration. Data integration leaders need to take three main steps to set up a shared-service team. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=209336&ref=g_rss]]></link>
  	 <pubDate>Mon, 13 Dec 2010</pubDate>
	 <guid>1491314</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[ 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[Data Integration]]></category> 
   			<title><![CDATA[ Cool Vendors in Data Management and Integration, 2011]]></title>
		<description><![CDATA[ There are many innovative new vendors in the field of data management and integration. We profile four that can help organizations meet the challenges presented by rising volumes of data, increasing variety of data, and the need to make that data available for use more quickly. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211777&ref=g_rss]]></link>
  	  <pubDate>Mon, 18 Apr 2011</pubDate>
	 <guid>1637718</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Managing Orphaned Data Will Require a Multidisciplinary Approach]]></title>
		<description><![CDATA[ When applications are decommissioned, what happens to the data? Live data may get migrated to the new application, but what about the data that isn't migrated? If you can simply delete it, all well and good. Otherwise you have a problem -- it's called "orphaned data." ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=212187&ref=g_rss]]></link>
  	  <pubDate>Tue, 29 Mar 2011</pubDate>
	 <guid>1609416</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Key Issues for Data Management and Integration, 2011]]></title>
		<description><![CDATA[ Gartner's 2011 research on data management and integration will focus on the profound implications of the growing chasm between enterprises that are modernizing their environments and enterprises that continue to run their current systems. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=208941&ref=g_rss]]></link>
  	  <pubDate>Tue, 22 Feb 2011</pubDate>
	 <guid>1555314</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Best Practices in Organizing for Data Integration Shared Services]]></title>
		<description><![CDATA[ Enterprises can increase their flexibility and lower costs by taking a shared-service approach to data integration. Data integration leaders need to take three main steps to set up a shared-service team. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=209336&ref=g_rss]]></link>
  	  <pubDate>Mon, 13 Dec 2010</pubDate>
	 <guid>1491314</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Findings: 'Big Data' Is More Extreme Than Volume]]></title>
		<description><![CDATA[ "Big data" is a "hot term" forcing attention on increasingly critical information management issues. Many big data discussions fall short of many extreme aspects of data management which go beyond simply addressing volume. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=209175&ref=g_rss]]></link>
  	  <pubDate>Thu, 09 Dec 2010</pubDate>
	 <guid>1488814</guid>   
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  <category><![CDATA[Data Integration]]></category> 
   			<title><![CDATA[ Informatica Acquires 29West to Complement Its Data Integration Offerings]]></title>
		<description><![CDATA[ Informatica has strengthened its data integration products and moved into the market for selling messaging products to the financial services industry. However, it is unlikely to garner much revenue selling messaging products outside of financial services through the end of 2011. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=176032&ref=g_rss]]></link>
  	  <pubDate>Thu, 27 May 2010</pubDate>
	 <guid>1376417</guid>   
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Overcome Barriers to Improving Data Quality: Lessons From the EMEA MDM Summit Workshop]]></title>
		<description><![CDATA[ At a workshop at Gartner's master data management summit in London, participants discussed the most common challenges with data quality programs and brainstormed ways to address these challenges. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211687&ref=g_rss]]></link>
  	 <pubDate>Tue, 29 Mar 2011</pubDate>
	 <guid>1608215</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Value From ERP: Shine a Light on Data Quality, Cheaply]]></title>
		<description><![CDATA[ Many IT organizations realize they have an ERP data quality problem, but struggle to convince the business that it's serious and needs to be fixed. Facts help build a business case, and some simple tools for assessing data quality can form the kernel of a robust data quality and MDM strategy. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210148&ref=g_rss]]></link>
  	 <pubDate>Thu, 20 Jan 2011</pubDate>
	 <guid>1525615</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Findings From Primary Research Study: Data Quality Issues Create Significant Cost, Yet Often Go Unmeasured]]></title>
		<description><![CDATA[ In a recent Gartner study, 36% of participants estimated they are losing more than $1 million annually because of data quality issues. Approximately 35% were unable to estimate the cost impact, even though they were actively involved in a data quality improvement program. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=206869&ref=g_rss]]></link>
  	 <pubDate>Thu, 21 Oct 2010</pubDate>
	 <guid>1455915</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ Magic Quadrant for Data Quality Tools]]></title>
		<description><![CDATA[ Demand for data quality tools remains strong, with deployments in support of master data management, modernization and information governance programs. Competition among large vendors grows more fierce as convergence between data quality tools, data integration tools and MDM solutions progresses. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=200603&ref=g_rss]]></link>
  	 <pubDate>Fri, 25 Jun 2010</pubDate>
	 <guid>1390431</guid>
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  <category><![CDATA[ Data Quality]]></category> 
   			<title><![CDATA[ 2010 Gartner FEI Technology Study: The CFO's Perspective on Data Quality]]></title>
		<description><![CDATA[ The 2010 Gartner Financial Executives International Technology Study found that the quality and consistency of data remains an issue for executives. Senior finance managers are concerned with improving data quality as a way to improve the accuracy and consistency of financial reporting. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=175819&ref=g_rss]]></link>
  	 <pubDate>Tue, 27 Apr 2010</pubDate>
	 <guid>1359828</guid>
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Overview for Modernizing the Delivery of Data Management Capabilities, 2011]]></title>
		<description><![CDATA[ Data management needs remain, and are likely to grow as enterprises adopt alternative ways to gain IT capabilities. The need to access, integrate and deliver data related to these capabilities presents new opportunities and challenges that IT leaders must address. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210860&ref=g_rss]]></link>
  	 <pubDate>Wed, 13 Apr 2011</pubDate>
	 <guid>1631115</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Target the Right Projects to Justify IT Asset Management Investment by Using Risk Analysis Techniques]]></title>
		<description><![CDATA[ In this time of constrained budgets, it is imperative for software asset managers with limited resources to invest in initiatives that can fuel future program growth. Execution risk assessment helps managers isolate those opportunities while mitigating risk factors that can stall an ITAM initiative. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=209348&ref=g_rss]]></link>
  	 <pubDate>Tue, 22 Feb 2011</pubDate>
	 <guid>1555614</guid> 
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  <category><![CDATA[Database Management Systems]]></category> 
   			<title><![CDATA[ Data in the Cloud: Five Case Studies on Emerging Uses of Data Management Services]]></title>
		<description><![CDATA[ Enterprises in five case studies used cloud-based data management services to help achieve their business goals. This research highlights the opportunities and approaches used by various organizations to manage their data in the cloud. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=205696&ref=g_rss]]></link>
  	 <pubDate>Thu, 28 Oct 2010</pubDate>
	 <guid>1458913</guid> 
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Data Warehouse Justification vs. Tactical Uses of Unintegrated Information]]></title>
		<description><![CDATA[ Organizations supporting analysis tools that have seen isolated success based on unintegrated information will be reluctant to deploy an enterprise data warehouse. CIOs and IT leaders can justify enterprise warehouses by demonstrating that competing versions of information impede corporate success. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=212531&ref=g_rss]]></link>
  	 <pubDate>Thu, 14 Apr 2011</pubDate>
	 <guid>1632915</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ The State of Data Warehousing in 2011]]></title>
		<description><![CDATA[ Gartner provides an in-depth look at the implementations and market trends which are influencing data warehouse deployments in 2011. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=209643&ref=g_rss]]></link>
  	 <pubDate>Mon, 31 Jan 2011</pubDate>
	 <guid>1533217</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Data Warehousing Trends for the CIO, 2011-2012]]></title>
		<description><![CDATA[ Key trends in data warehousing will have significant impacts on IT resource planning and budgets. Gartner outlines how CIOs should react to these trends. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210272&ref=g_rss]]></link>
  	 <pubDate>Thu, 27 Jan 2011</pubDate>
	 <guid>1530314</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Q&A for Data Warehouse DBMS Selection]]></title>
		<description><![CDATA[ This Q&A provides IT leaders with guidance about when to consider switching database management system technology for their data warehouse, what the migration considerations are when switching to a DBMS appliance and what factors should be considered in the DBMS selection process. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=208023&ref=g_rss]]></link>
  	 <pubDate>Fri, 05 Nov 2010</pubDate>
	 <guid>1463725</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Take a Workload Approach to Data Center Energy Management]]></title>
		<description><![CDATA[ Although hardware-based energy allocation is useful in data centers, a workload-based approach will yield application-specific benefits, especially in cloud and hosting services. Users must understand the benefits and pitfalls of this approach. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=205014&ref=g_rss]]></link>
  	 <pubDate>Fri, 23 Jul 2010</pubDate>
	 <guid>1408413</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Repository Strategies for Archived Data: The Blurred Line Between Hardware and Software]]></title>
		<description><![CDATA[ Archived data has unique requirements for management and preservation. These requirements can be met via software or by software and hardware combined. Organizations must align data access requirements with total cost of ownership to deploy an archive repository strategy that's most appropriate. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=201453&ref=g_rss]]></link>
  	 <pubDate>Tue, 22 Jun 2010</pubDate>
	 <guid>1389324</guid>
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  <category><![CDATA[ Data Warehousing Trends]]></category> 
   			<title><![CDATA[ Agile Techniques Augment But Do Not Replace Business Intelligence and Data Warehouse Best Practices]]></title>
		<description><![CDATA[ With current market hype regarding agile software development, it is important to remember that software development differs from application and infrastructure development. Iterative methodology remains a best practice for data warehousing and business intelligence. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=201031&ref=g_rss]]></link>
  	 <pubDate>Fri, 18 Jun 2010</pubDate>
	 <guid>1388114</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Three Trends That Will Shape the Master Data Management Market]]></title>
		<description><![CDATA[ This document examines three trends that will change the master data management market through 2015. They concern multidomain MDM, MDM in the cloud, and the meeting of MDM and social networking. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211236&ref=g_rss]]></link>
  	 <pubDate>Thu, 21 Apr 2011</pubDate>
	 <guid>1646118</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Different Approaches or Usage Patterns for MDM and Their Implications]]></title>
		<description><![CDATA[ Master data management approaches or usage patterns can take many forms. This research weighs up the pros and cons of the "virtual" vs. the "physical" approach to creating a golden record and highlights the differences between workflow and transactional approaches. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211237&ref=g_rss]]></link>
  	 <pubDate>Thu, 21 Apr 2011</pubDate>
	 <guid>1647721</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Cool Vendors in Enterprise Information Management, 2011]]></title>
		<description><![CDATA[ Technology plays an important supporting role in enterprise information management by providing the capabilities that allow information assets to be linked, shared, quality assured and appropriately governed. In this research, we highlight some new vendors in this space. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211780&ref=g_rss]]></link>
  	 <pubDate>Tue, 19 Apr 2011</pubDate>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Customer Experiences With Oracle Hyperion Data Relationship Management]]></title>
		<description><![CDATA[ Tools are emerging that can manage master data for some forms of traditional business intelligence content, such as dimensional hierarchies. These tools manage downstream analytical applications, as well as more upstream operational applications. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210743&ref=g_rss]]></link>
  	 <pubDate>Mon, 11 Apr 2011</pubDate>
	 <guid>1626516</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ 'Big Data' Is Only the Beginning of Extreme Information Management]]></title>
		<description><![CDATA[ Although the term "big data" overemphasizes the issue of information volume, it does serve as a useful way to start a conversation about the multiple dimensions required of a modern information management strategy. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211490&ref=g_rss]]></link>
  	 <pubDate>Thu, 07 Apr 2011</pubDate>
	 <guid>1622715</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ How to Plan, Participate and Prosper in the Data Economy]]></title>
		<description><![CDATA[ Terms like "big data," "open data" and "linked data" are part of the new era in which the economics of data (not the economics of applications, software or hardware) drives competitive advantage. Winners create networks of trust by shifting from mashing (storing data) to meshing (sharing data). ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211545&ref=g_rss]]></link>
  	 <pubDate>Tue, 29 Mar 2011</pubDate>
	 <guid>1610514</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Key Issues for Master Data Management, 2011]]></title>
		<description><![CDATA[ Master data management is a key enabler of business success. Gartner plans to provide a wide range of research to help organizations successfully initiate, reinforce and sustain their MDM discipline. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210255&ref=g_rss]]></link>
  	 <pubDate>Mon, 07 Feb 2011</pubDate>
	 <guid>1541214</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Key Issues for Enterprise Information Management, 2011]]></title>
		<description><![CDATA[ Gartner's 2011 research will show how to develop an effective business case for enterprise information management and will explore the challenges facing EIM initiatives. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210066&ref=g_rss]]></link>
  	 <pubDate>Fri, 04 Feb 2011</pubDate>
	 <guid>1539122</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Data Modeling and Data Architecture; A Required Strategy for Enterprise Information Architecture]]></title>
		<description><![CDATA[ By investing in data architecture and data modeling, enterprises can increase their flexibility, lower the cost of data management projects and benefit from greater data consistency across the business through managing their business-relevant data models more effectively. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210222&ref=g_rss]]></link>
  	 <pubDate>Fri, 28 Jan 2011</pubDate>
	 <guid>1531214</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Q&A: Information Governance]]></title>
		<description><![CDATA[ As business executive leadership places increased importance on the ability to unlock the value of information to support business goals, information management and governance are frequently the subject of client contacts. Understanding the fundamentals is critical to success. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=210271&ref=g_rss]]></link>
  	 <pubDate>Wed, 19 Jan 2011</pubDate>
	 <guid>1524616</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ Roundup of Master Data Management and Related Research, 4Q10]]></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=208061&ref=g_rss]]></link>
  	 <pubDate>Mon, 11 Oct 2010</pubDate>
	 <guid>1449315</guid>
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  <category><![CDATA[Enterprise Information Management]]></category> 
   			<title><![CDATA[ MDM 'Primer': How to Define Master Data and Related Data in Your Organization]]></title>
		<description><![CDATA[ MDM program managers and leaders need to ensure a shared understanding of what defines master data across the organization. MDM programs will not go very far without this. If your organization plans to adopt MDM, you need this "primer" to help you define master data across business and IT. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=201678&ref=g_rss]]></link>
  	 <pubDate>Tue, 21 Sep 2010</pubDate>
	 <guid>1438416</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Communicating Metadata Issues in E-Discovery to the General Counsel]]></title>
		<description><![CDATA[ The production of electronically stored information in e-discovery is not just about the "surface" content; it must also take into account the underlying metadata. Legal professionals must understand what is available in electronically stored information during discovery. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=173761&ref=g_rss]]></link>
  	 <pubDate>Wed, 10 Nov 2010</pubDate>
	 <guid>1466420</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Metadata Business Threats and Opportunities, 2H10-1H11]]></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=206118&ref=g_rss]]></link>
  	 <pubDate>Thu, 19 Aug 2010</pubDate>
	 <guid>1424026</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Gartner Clarifies the Definition of Metadata]]></title>
		<description><![CDATA[ This research will help IT managers break deadlocks within their organizations on the question of what constitutes metadata. Organizations should aim for consensus on what metadata is to enable better use of it throughout the enterprise. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=206115&ref=g_rss]]></link>
  	 <pubDate>Thu, 19 Aug 2010</pubDate>
	 <guid>1424022</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Understanding Data Leakage Risks From Document Metadata Artifacts and Improper Redaction]]></title>
		<description><![CDATA[ Few organizations understand the significant risks of data leakage from metadata artifacts and improper redaction. Many believe these risks are only relevant to government or military document declassification programs. However, reality provides significant evidence to the contrary. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=175594&ref=g_rss]]></link>
  	 <pubDate>Mon, 12 Apr 2010</pubDate>
	 <guid>1351535</guid>
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  <category><![CDATA[Metadata Management]]></category> 
   			<title><![CDATA[ Addressing Data Leakage Risks From Document Metadata Artifacts and Improper Redaction]]></title>
		<description><![CDATA[ The pressure for organizations to share more data than ever before, along with continuously higher expectations for the control of sensitive and regulated data, makes it critically important for organizations to address metadata and redaction correctly. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=175869&ref=g_rss]]></link>
  	 <pubDate>Mon, 12 Apr 2010</pubDate>
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  <category><![CDATA[Magic Quadrants and MarketScopes]]></category> 
   			<title><![CDATA[ Magic Quadrant for Data Warehouse Database Management Systems]]></title>
		<description><![CDATA[ The data warehouse DBMS market is undergoing a transformation, including many acquisitions, as vendors adapt data warehouses to support the modern business intelligence and analytic workload requirements of users. This document compares 16 vendors to help you find the right one for your needs. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=209623&ref=g_rss]]></link>
  	 <pubDate>Fri, 28 Jan 2011</pubDate>
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  <category><![CDATA[Magic Quadrants and MarketScopes]]></category> 
   			<title><![CDATA[ Magic Quadrant for Data Integration Tools]]></title>
		<description><![CDATA[ Market conditions favor offerings with low costs and rapid time to value, but buyers that see data integration as strategic also seek rich capabilities to fuel their information infrastructure. More vendors in the data integration tools market understand these needs, but execution challenges remain. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=207435&ref=g_rss]]></link>
  	 <pubDate>Fri, 19 Nov 2010</pubDate>
	 <guid>1473819</guid>  
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  <category><![CDATA[Magic Quadrants and MarketScopes]]></category> 
   			<title><![CDATA[ Magic Quadrant for Master Data Management of Customer Data]]></title>
		<description><![CDATA[ Demand for MDM of customer data solutions continues to grow, and organizations can leverage increasingly mature capabilities. But there is still more to do, and the vendor picture continues to change, due to acquisitions, plans for new products and changes in positioning. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=206031&ref=g_rss]]></link>
  	 <pubDate>Mon, 04 Oct 2010</pubDate>
	 <guid>1444613</guid>  
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  <category><![CDATA[Magic Quadrants and MarketScopes]]></category> 
   			<title><![CDATA[ Magic Quadrant for Master Data Management of Product Data]]></title>
		<description><![CDATA[ Some industry sectors slowed spending in this market, yet other parts grew; business drivers also shifted across industry sectors. Some vendors changed position in the market. Overall, the market grew in 2009 by 13%, and 2010 shows signs of the higher growth observed back in 2007. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=205921&ref=g_rss]]></link>
  	 <pubDate>Mon, 27 Sep 2010</pubDate>
	 <guid>1440663</guid>  
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  <category><![CDATA[Magic Quadrants and MarketScopes]]></category> 
   			<title><![CDATA[ Magic Quadrant for Data Quality Tools]]></title>
		<description><![CDATA[ Demand for data quality tools remains strong, with deployments in support of master data management, modernization and information governance programs. Competition among large vendors grows more fierce as convergence between data quality tools, data integration tools and MDM solutions progresses. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=200603&ref=g_rss]]></link>
  	 <pubDate>Fri, 25 Jun 2010</pubDate>
	 <guid>1390431</guid>  
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  <category><![CDATA[Hype Cycles]]></category> 
   			<title><![CDATA[ Hype Cycle for Master Data Management, 2010]]></title>
		<description><![CDATA[ Master data management is a technology-enabled business discipline that helps organizations achieve a "single version of the truth" in such important areas as customers, products and accounts. The MDM Hype Cycle looks at the noteworthy technology elements that are involved. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=206123&ref=g_rss]]></link>
  	 <pubDate>Mon, 08 Nov 2010</pubDate>
	 <guid>1464920</guid>
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  <category><![CDATA[Hype Cycles]]></category> 
   			<title><![CDATA[ Hype Cycle for Data Management, 2010]]></title>
		<description><![CDATA[ Data management technologies and practices are evolving fast as organizations recognize their value and attain benefits. This document describes the relative maturity of these technologies and practices, and the opportunities that organizations can derive from established and emerging capabilities. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=200878&ref=g_rss]]></link>
  	 <pubDate>Thu, 22 Jul 2010</pubDate>
	 <guid>1406713</guid>
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  <category><![CDATA[Vendor Ratings]]></category> 
   			<title><![CDATA[ Cool Vendors 2011: Delivery and Consumption of Services Is Empowering, and Cool]]></title>
		<description><![CDATA[ Delivering and consuming services to improve business outcomes is the new driver of coolness for the 2011 Cool Vendors. Innovative technologies, the ongoing consumerization of IT and cloud computing also continue to characterize vendor coolness. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=212815&ref=g_rss]]></link>
  	 <pubDate>Mon, 02 May 2011</pubDate>
	 <guid>1661916</guid>
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  <category><![CDATA[Vendor Ratings]]></category> 
   			<title><![CDATA[ Cool Vendors in Data Center Infrastructure Management Tools, 2011]]></title>
		<description><![CDATA[ Gartner examines five vendors that offer attractive and different solutions for measuring, monitoring, reporting and controlling energy consumption in data centers. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211330&ref=g_rss]]></link>
  	 <pubDate>Mon, 02 May 2011</pubDate>
	 <guid>1661415</guid>
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  <category><![CDATA[Vendor Ratings]]></category> 
   			<title><![CDATA[ Cool Vendors in MDM, 2011]]></title>
		<description><![CDATA[ This research highlights cool vendors that have applicability to the master data management discipline. MDM program managers and architects should consider the need for such vendors and technologies to complement their main MDM technology investments. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211385&ref=g_rss]]></link>
  	 <pubDate>Thu, 21 Apr 2011</pubDate>
	 <guid>1645615</guid>
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  <category><![CDATA[Vendor Ratings]]></category> 
   			<title><![CDATA[ Cool Vendors in Enterprise Information Management, 2011]]></title>
		<description><![CDATA[ Technology plays an important supporting role in enterprise information management by providing the capabilities that allow information assets to be linked, shared, quality assured and appropriately governed. In this research, we highlight some new vendors in this space. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211780&ref=g_rss]]></link>
  	 <pubDate>Tue, 19 Apr 2011</pubDate>
	 <guid>1639814</guid>
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  <category><![CDATA[Vendor Ratings]]></category> 
   			<title><![CDATA[ Cool Vendors in Data Management and Integration, 2011]]></title>
		<description><![CDATA[ There are many innovative new vendors in the field of data management and integration. We profile four that can help organizations meet the challenges presented by rising volumes of data, increasing variety of data, and the need to make that data available for use more quickly. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211777&ref=g_rss]]></link>
  	 <pubDate>Mon, 18 Apr 2011</pubDate>
	 <guid>1637718</guid>
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  <category>Spotlights</category>
   			<title><![CDATA[ Different Approaches or Usage Patterns for MDM and Their Implications]]></title>
		<description><![CDATA[ Master data management approaches or usage patterns can take many forms. This research weighs up the pros and cons of the "virtual" vs. the "physical" approach to creating a golden record and highlights the differences between workflow and transactional approaches. ]]></description>
		
			<link><![CDATA[http://www.gartner.com/DisplayDocument?doc_cd=211237&ref=g_rss]]></link>
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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 Business Intelligence Summit]]></title> 
  	
										<link><![CDATA[http://www.gartner.com/technology/summits/na/business-intelligence/index.jsp]]></link>
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<category>Events</category>
 			<title><![CDATA[ Master Data Management Summit]]></title> 
  	
										<link><![CDATA[http://www.gartner.com/technology/summits/na/business-intelligence/index.jsp]]></link>
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