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	<title>Informatica Perspectives » Scorecarding</title>
	
	<link>http://blogs.informatica.com/perspectives</link>
	<description>The Data Integration Blog</description>
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		<title>Reading The Tea Leaves: Predictions For Data Quality In 2012</title>
		<link>http://blogs.informatica.com/perspectives/2012/01/20/reading-the-tea-leaves-predictions-for-data-quality-in-2012/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=reading-the-tea-leaves-predictions-for-data-quality-in-2012</link>
		<comments>http://blogs.informatica.com/perspectives/2012/01/20/reading-the-tea-leaves-predictions-for-data-quality-in-2012/#comments</comments>
		<pubDate>Fri, 20 Jan 2012 08:15:31 +0000</pubDate>
		<dc:creator>Clarke Patterson</dc:creator>
				<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Identity Resolution]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Vertical]]></category>
		<category><![CDATA[application]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[data profiling]]></category>
		<category><![CDATA[data steward]]></category>
		<category><![CDATA[MDM]]></category>
		<category><![CDATA[return on data]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=8722</guid>
		<description><![CDATA[Following up from my previous post on 2011 reflections, it’s now time to take a look at the year ahead and consider what key trends will likely impact the world of data quality as we know it. As I mentioned &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2012/01/20/reading-the-tea-leaves-predictions-for-data-quality-in-2012/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2012/01/20/reading-the-tea-leaves-predictions-for-data-quality-in-2012/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>(Data) Champions Are Everywhere</title>
		<link>http://blogs.informatica.com/perspectives/2011/09/02/data-champions-are-everywhere/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=data-champions-are-everywhere</link>
		<comments>http://blogs.informatica.com/perspectives/2011/09/02/data-champions-are-everywhere/#comments</comments>
		<pubDate>Fri, 02 Sep 2011 07:05:40 +0000</pubDate>
		<dc:creator>Clarke Patterson</dc:creator>
				<category><![CDATA[Business/IT Collaboration]]></category>
		<category><![CDATA[CIO]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Data Warehousing]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[Benefits]]></category>
		<category><![CDATA[business value]]></category>
		<category><![CDATA[customer success]]></category>
		<category><![CDATA[data monitoring]]></category>
		<category><![CDATA[data profiling]]></category>
		<category><![CDATA[increase revenue]]></category>
		<category><![CDATA[Informatica]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[MDM]]></category>
		<category><![CDATA[reduce costs]]></category>
		<category><![CDATA[reduce risk]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=7407</guid>
		<description><![CDATA[I recently had the opportunity to meet with the board of directors for a large distribution company here in the U.S.  On the table for discussion were data quality and data governance, and how a focus on both could help &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/09/02/data-champions-are-everywhere/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/09/02/data-champions-are-everywhere/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Reflections On Gartner’s 2011 Magic Quadrant For Data Quality Tools</title>
		<link>http://blogs.informatica.com/perspectives/2011/08/09/reflections-on-gartners-2011-magic-quadrant-for-data-quality-tools/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=reflections-on-gartners-2011-magic-quadrant-for-data-quality-tools</link>
		<comments>http://blogs.informatica.com/perspectives/2011/08/09/reflections-on-gartners-2011-magic-quadrant-for-data-quality-tools/#comments</comments>
		<pubDate>Tue, 09 Aug 2011 13:46:31 +0000</pubDate>
		<dc:creator>Clarke Patterson</dc:creator>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[CIO]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Informatica 9.1]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[data cleansing]]></category>
		<category><![CDATA[data discovery]]></category>
		<category><![CDATA[data profiling]]></category>
		<category><![CDATA[data standardization]]></category>
		<category><![CDATA[Gartner Magic Quadrant]]></category>
		<category><![CDATA[Governance]]></category>
		<category><![CDATA[MDM]]></category>
		<category><![CDATA[Trusted Data]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=7017</guid>
		<description><![CDATA[Gartner recently released their 2011 Magic Quadrant for Data Quality Tools and I’m happy to announce that Informatica is positioned in the Leaders’ quadrant.  We believe our position is a testament to the fact that customers like Station Casinos and &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/08/09/reflections-on-gartners-2011-magic-quadrant-for-data-quality-tools/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/08/09/reflections-on-gartners-2011-magic-quadrant-for-data-quality-tools/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>3 Ways Informatica 9.1 Delivers Authoritative And Trustworthy Data</title>
		<link>http://blogs.informatica.com/perspectives/2011/06/06/3-ways-informatica-9-1-delivers-authoritative-and-trustworthy-data/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=3-ways-informatica-9-1-delivers-authoritative-and-trustworthy-data</link>
		<comments>http://blogs.informatica.com/perspectives/2011/06/06/3-ways-informatica-9-1-delivers-authoritative-and-trustworthy-data/#comments</comments>
		<pubDate>Mon, 06 Jun 2011 15:36:28 +0000</pubDate>
		<dc:creator>Informatica</dc:creator>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Integration Platform]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Enterprise Data Management]]></category>
		<category><![CDATA[Informatica 9.1]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[customer centricity]]></category>
		<category><![CDATA[MDM]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=6018</guid>
		<description><![CDATA[One of the key themes of the Informatica 9.1 release is Authoritative and Trustworthy data. To set the stage, consider the imperatives that organizations are driving such as becoming more customer-centric to drive top line revenue, or optimize just-in-time procurement &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/06/06/3-ways-informatica-9-1-delivers-authoritative-and-trustworthy-data/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/06/06/3-ways-informatica-9-1-delivers-authoritative-and-trustworthy-data/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Informatica Data Quality 9.1: Discover, Profile And Cleanse – Oh My!</title>
		<link>http://blogs.informatica.com/perspectives/2011/06/03/6050/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=6050</link>
		<comments>http://blogs.informatica.com/perspectives/2011/06/03/6050/#comments</comments>
		<pubDate>Fri, 03 Jun 2011 17:21:03 +0000</pubDate>
		<dc:creator>Clarke Patterson</dc:creator>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Informatica 9.1]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[authoritative and trustworthy]]></category>
		<category><![CDATA[data cleansing]]></category>
		<category><![CDATA[data discovery]]></category>
		<category><![CDATA[data matching]]></category>
		<category><![CDATA[data profiling]]></category>
		<category><![CDATA[data standardization]]></category>
		<category><![CDATA[Trusted Data]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=6050</guid>
		<description><![CDATA[Today is an exciting day for Informatica as we go live with the launch of Informatica 9.1.  With this new release we are further extending our platform vision to bring to market industry leading data integration, MDM and data quality &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/06/03/6050/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/06/03/6050/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Why MDM and Data Quality is Such a Big Deal for Big Data</title>
		<link>http://blogs.informatica.com/perspectives/2011/05/26/why-mdm-and-data-quality-is-such-a-big-deal-for-big-data/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=why-mdm-and-data-quality-is-such-a-big-deal-for-big-data</link>
		<comments>http://blogs.informatica.com/perspectives/2011/05/26/why-mdm-and-data-quality-is-such-a-big-deal-for-big-data/#comments</comments>
		<pubDate>Fri, 27 May 2011 06:11:04 +0000</pubDate>
		<dc:creator>Ravi Shankar</dc:creator>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Customer Acquisition & Retention]]></category>
		<category><![CDATA[Data Aggregation]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Integration]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Enterprise Data Management]]></category>
		<category><![CDATA[Identity Resolution]]></category>
		<category><![CDATA[Informatica 9.1]]></category>
		<category><![CDATA[Informatica Events]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[business-critical data]]></category>
		<category><![CDATA[customer service]]></category>
		<category><![CDATA[Data Management]]></category>
		<category><![CDATA[duplicate data]]></category>
		<category><![CDATA[Facebook]]></category>
		<category><![CDATA[incomplete data]]></category>
		<category><![CDATA[inconsistent data]]></category>
		<category><![CDATA[marketing]]></category>
		<category><![CDATA[MDM]]></category>
		<category><![CDATA[sales]]></category>
		<category><![CDATA[Single View of Customer]]></category>
		<category><![CDATA[social data]]></category>
		<category><![CDATA[transaction data]]></category>
		<category><![CDATA[twitter]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=5948</guid>
		<description><![CDATA[Big Data is the confluence of three major technology trends hitting the industry right now: Big Transaction Data (describing the enormous growing volumes of transactional data within the enterprise), Big Interaction Data (describing new types of data such as Social &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/05/26/why-mdm-and-data-quality-is-such-a-big-deal-for-big-data/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/05/26/why-mdm-and-data-quality-is-such-a-big-deal-for-big-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Public Opinion And Data Quality: A Lesson In Sustained Data Quality Improvement</title>
		<link>http://blogs.informatica.com/perspectives/2011/05/16/public-opinion-and-data-quality-a-lesson-in-sustained-data-quality-improvement/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=public-opinion-and-data-quality-a-lesson-in-sustained-data-quality-improvement</link>
		<comments>http://blogs.informatica.com/perspectives/2011/05/16/public-opinion-and-data-quality-a-lesson-in-sustained-data-quality-improvement/#comments</comments>
		<pubDate>Mon, 16 May 2011 16:49:59 +0000</pubDate>
		<dc:creator>Clarke Patterson</dc:creator>
				<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[data profiling]]></category>
		<category><![CDATA[MDM]]></category>
		<category><![CDATA[proactive monitoring]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=5797</guid>
		<description><![CDATA[In the U.S., and perhaps around the world, the events of a couple of weeks ago are truly memorable.  As is often the case, when significant politically oriented shifts occur, the discussion of public opinion towards those in charge rises &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/05/16/public-opinion-and-data-quality-a-lesson-in-sustained-data-quality-improvement/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/05/16/public-opinion-and-data-quality-a-lesson-in-sustained-data-quality-improvement/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Customer Data Forum Off To A Great Start Featuring MDM</title>
		<link>http://blogs.informatica.com/perspectives/2011/04/29/customer-data-forum-off-to-a-great-start-featuring-mdm/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=customer-data-forum-off-to-a-great-start-featuring-mdm</link>
		<comments>http://blogs.informatica.com/perspectives/2011/04/29/customer-data-forum-off-to-a-great-start-featuring-mdm/#comments</comments>
		<pubDate>Fri, 29 Apr 2011 15:59:19 +0000</pubDate>
		<dc:creator>Ravi Shankar</dc:creator>
				<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Integration]]></category>
		<category><![CDATA[Data Integration Platform]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Data Services]]></category>
		<category><![CDATA[Data Warehousing]]></category>
		<category><![CDATA[Enterprise Data Management]]></category>
		<category><![CDATA[Identity Resolution]]></category>
		<category><![CDATA[Informatica Events]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[Partners]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[Atlanta]]></category>
		<category><![CDATA[attract and retain customers]]></category>
		<category><![CDATA[Business Case]]></category>
		<category><![CDATA[Capgemini]]></category>
		<category><![CDATA[CDI]]></category>
		<category><![CDATA[customer]]></category>
		<category><![CDATA[customer centricity]]></category>
		<category><![CDATA[customer data forum]]></category>
		<category><![CDATA[customer data integration]]></category>
		<category><![CDATA[Data Silos]]></category>
		<category><![CDATA[IT]]></category>
		<category><![CDATA[MDM]]></category>
		<category><![CDATA[Ray Wang]]></category>
		<category><![CDATA[Washington DC]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=5599</guid>
		<description><![CDATA[We launched a coast-to-coast Customer Data Forum road show with visits to Atlanta and Washington, D.C., that attracted business and IT professionals interested in using master data management (MDM) to attract and retain customers. From the business side, our guests &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/04/29/customer-data-forum-off-to-a-great-start-featuring-mdm/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/04/29/customer-data-forum-off-to-a-great-start-featuring-mdm/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Life Cycle Events, Customer Retention, and Data: Pulling It All Together</title>
		<link>http://blogs.informatica.com/perspectives/2011/03/30/life-cycle-events-customer-retention-and-data-pulling-it-all-together/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=life-cycle-events-customer-retention-and-data-pulling-it-all-together</link>
		<comments>http://blogs.informatica.com/perspectives/2011/03/30/life-cycle-events-customer-retention-and-data-pulling-it-all-together/#comments</comments>
		<pubDate>Wed, 30 Mar 2011 12:54:51 +0000</pubDate>
		<dc:creator>David Loshin</dc:creator>
				<category><![CDATA[Business Impact / Benefits]]></category>
		<category><![CDATA[Customer Acquisition & Retention]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Enterprise Data Management]]></category>
		<category><![CDATA[Governance, Risk and Compliance]]></category>
		<category><![CDATA[Operational Efficiency]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[customer data integration]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[MDM]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=5276</guid>
		<description><![CDATA[The last set of blog entries looked at the value of maintaining high quality data to support customer retention activities and processes in reference to life cycle events. To pull my thoughts together, we have looked at the business expectations &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/03/30/life-cycle-events-customer-retention-and-data-pulling-it-all-together/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/03/30/life-cycle-events-customer-retention-and-data-pulling-it-all-together/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Navigating The Maze: Tips For Enabling Successful Data Governance</title>
		<link>http://blogs.informatica.com/perspectives/2011/03/24/navigating-the-maze-tips-for-enabling-successful-data-governance/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=navigating-the-maze-tips-for-enabling-successful-data-governance</link>
		<comments>http://blogs.informatica.com/perspectives/2011/03/24/navigating-the-maze-tips-for-enabling-successful-data-governance/#comments</comments>
		<pubDate>Thu, 24 Mar 2011 13:40:02 +0000</pubDate>
		<dc:creator>Clarke Patterson</dc:creator>
				<category><![CDATA[Business Impact / Benefits]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Enterprise Data Management]]></category>
		<category><![CDATA[Governance, Risk and Compliance]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[Operational Efficiency]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Scorecarding]]></category>
		<category><![CDATA[business and IT collaboration]]></category>
		<category><![CDATA[data profiling]]></category>
		<category><![CDATA[data scorecarding]]></category>
		<category><![CDATA[MDM]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=5158</guid>
		<description><![CDATA[I have been talking with a lot of customers lately on the topic of data governance.  Over and above the obvious question of “what is data governance”, two other common questions seem to come up, both related to helping make &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/03/24/navigating-the-maze-tips-for-enabling-successful-data-governance/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/03/24/navigating-the-maze-tips-for-enabling-successful-data-governance/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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