<?xml version="1.0" encoding="UTF-8"?><rss version="0.92">
<channel>
	<title>Data Quality Resource Guide</title>
	<link>http://www.dqguide.com/weblog</link>
	<description>Data Quality Resource Guide Weblog</description>
	<lastBuildDate>Thu, 10 Jun 2010 14:45:26 +0000</lastBuildDate>
	<docs>http://backend.userland.com/rss092</docs>
	<language>en</language>
	<!-- generator="WordPress/3.0" -->

	<item>
		<title>Customer Data Quality: a Foundation for Customer and Revenue Growth</title>
		<description><![CDATA[70 percent of best-in-class firms have identified competitive and growth pressures as the leading driver for customer data quality initiatives, and those organizations are more likely than others to consider data quality initiatives a top priority (80 percent vs. roughly 50 percent). Link to External Resource: Customer Data Quality: a Foundation for Customer and Revenue [...]]]></description>
		<link>http://www.dqguide.com/weblog/customer-data-quality-a-foundation-for-customer-and-revenue-growth/</link>
			</item>
	<item>
		<title>How to Build A Compelling Business Case For Data Quality</title>
		<description><![CDATA[A valuable and impressive data- and research-intensive presentation on why data quality matters, strategies for data quality management and how to make the business case for a data quality initiative. Link to External Resource: How to Build A Compelling Business Case For Data Quality &#124; PDF Source: Prof. Dr. Peter Chamoni, University of Duisburg-Essen See [...]]]></description>
		<link>http://www.dqguide.com/weblog/how-to-build-a-compelling-business-case-for-data-quality/</link>
			</item>
	<item>
		<title>Organizing for Data Quality</title>
		<description><![CDATA[The Cost of Poor-Quality Data: Sales/Marketing: Low customer satisfaction, Many address change requests, No trust/agreement in reporting. Finance: Budgets take forever to get &#8220;right&#8221;, Big budget/actual discrepancies, No trust/agreement in reporting. Supply Chain: &#8220;Out-of-stock&#8221; situations, Poor-quality products, No trust/agreement in reporting. IT: Large IT projects fail, Low usage of applications, No trust/agreement in reporting.&#8221; Link [...]]]></description>
		<link>http://www.dqguide.com/weblog/organizing-for-data-quality/</link>
			</item>
	<item>
		<title>Solvency II: Will Your Data Let You Down?</title>
		<description><![CDATA[This Resource includes an interesting look at how the banking industry handled the data quality requirements of Basel II. From the Resource: &#8220;The most common mistake made by many banks in preparing for the adoption of Basel II was to underestimate significantly the scale of data quality problems and the level of effort required to [...]]]></description>
		<link>http://www.dqguide.com/weblog/solvency-ii-will-your-data-let-you-down/</link>
			</item>
	<item>
		<title>NSSRS Data Quality Training Initiative</title>
		<description><![CDATA[&#8220;If an education agency is spending time cleaning data, then the processes are wrong.&#8221; Link to External Resource: NSSRS Data Quality Training Initiative Source: Nebraska Department of Education See more Resources like this one in this Data Quality Resource Guide Section: Data Quality Quotes by Users]]></description>
		<link>http://www.dqguide.com/weblog/nssrs-data-quality-training-initiative/</link>
			</item>
	<item>
		<title>Steps for Ensuring Data Quality</title>
		<description><![CDATA[A visual 1-page representation of a multi-step data quality program. While not a detailed plan, this Resource provides interesting aspects to data quality planning. From the Resource: &#8220;Data quality is more than accuracy and reliability. High levels of data quality are achieved when information is valid for the use to which it is applied and [...]]]></description>
		<link>http://www.dqguide.com/weblog/steps-for-ensuring-data-quality/</link>
			</item>
	<item>
		<title>How Good is Your Supply Chain Data Quality?</title>
		<description><![CDATA[&#8220;How do companies assess data quality? That&#8217;s the problem, many do not. Few have a formal method for tracking data quality; they base their assessment on gut feel or may have looked at it as part of a major IT project. Most, however, do not know if they even have a problem.&#8221; Link to External [...]]]></description>
		<link>http://www.dqguide.com/weblog/how-good-is-your-supply-chain-data-quality-2/</link>
			</item>
	<item>
		<title>UNLV Data Governance</title>
		<description><![CDATA[An overview of UNLV&#8217;s data governance organization, roles and structure, including a data governance council and data stewards. Link to External Resource: UNLV Data Governance [Powerpoint] Source: University of Nevada &#8211; Las Vegas See more Resources like this one in this Data Quality Resource Guide Section: Data Quality Implementation Plans and Documents]]></description>
		<link>http://www.dqguide.com/weblog/unlv-data-governance/</link>
			</item>
	<item>
		<title>Tom&#8217;s Ten Data Tips</title>
		<description><![CDATA[10 Data Quality Assessment Tips: Data are outdated as soon as they enter the database Data conversion is a major source of DQ problems Convincing the CEO a DQ problem exists is a challenge (and a must) DQ assessment needs to be grounded in (financial) numbers Establish DQ benchmarks across the company Consider doing both [...]]]></description>
		<link>http://www.dqguide.com/weblog/toms-ten-data-tips/</link>
			</item>
	<item>
		<title>Developing and Supporting P-20 Education Data Systems: A State of the States</title>
		<description><![CDATA[A look into the proactive project initiated by the National Center for Educational Achievement to improve the collection, availability and use of high-quality education data and to implement state longitudinal data systems to improve student achievement. This presentation highlights record matching as a key component of data quality and gives several examples of the initiative&#8217;s [...]]]></description>
		<link>http://www.dqguide.com/weblog/developing-and-supporting-p-20-education-data-systems-a-state-of-the-states/</link>
			</item>
</channel>
</rss>
