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	<title>Software Sherpa &#187; Information Management</title>
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		<title>Data Quality ROI Calculator for Marketing</title>
		<link>http://www.softwaresherpa.com/data-quality-roi-calculator-for-marketing/</link>
		<comments>http://www.softwaresherpa.com/data-quality-roi-calculator-for-marketing/#comments</comments>
		<pubDate>Fri, 11 Dec 2009 07:06:44 +0000</pubDate>
		<dc:creator>Sean Anderson</dc:creator>
				<category><![CDATA[Dashboards]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Information Management]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[ROI Calculator]]></category>

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		<description><![CDATA[This Data Quality ROI Calculator shows you how a relatively small percentage of bad or undeliverable addresses and duplicate records in your database can cause significant marketing spend waste. To get an estimate of the savings your organization can realize by investing in a data quality program, simply plug in your total number of records, [...]


Related posts:<ol><li><a href='http://www.softwaresherpa.com/xcelsius-bi-standardization-cost-savings-calculator/' rel='bookmark' title='Permanent Link: Xcelsius BI Standardization Cost Savings Calculator'>Xcelsius BI Standardization Cost Savings Calculator</a></li><li><a href='http://www.softwaresherpa.com/sap-businessobjects-maintains-leadership-position-in-gartners-magic-quadrant-for-data-quality-tools-for-4th-year-in-a-row/' rel='bookmark' title='Permanent Link: SAP BusinessObjects Maintains Leadership Position in Gartner&#8217;s Magic Quadrant for Data Quality Tools for 4th Year in a Row'>SAP BusinessObjects Maintains Leadership Position in Gartner&#8217;s Magic Quadrant for Data Quality Tools for 4th Year in a Row</a></li><li><a href='http://www.softwaresherpa.com/webinar-tdwi-webcast-on-data-integration-and-data-quality/' rel='bookmark' title='Permanent Link: Webinar: TDWI Webcast on Data Integration and Data Quality'>Webinar: TDWI Webcast on Data Integration and Data Quality</a></li></ol>]]></description>
			<content:encoded><![CDATA[<p>This Data Quality ROI Calculator shows you how a relatively small percentage of bad or undeliverable addresses and duplicate records in your database can cause significant marketing spend waste. To get an estimate of the savings your organization can realize by investing in a data quality program, simply plug in your total number of records, estimated bad or undeliverable addresses and estimated duplicate records and the calculator will determine your annual cost of bad customer data.</p>

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<p>Related posts:<ol><li><a href='http://www.softwaresherpa.com/xcelsius-bi-standardization-cost-savings-calculator/' rel='bookmark' title='Permanent Link: Xcelsius BI Standardization Cost Savings Calculator'>Xcelsius BI Standardization Cost Savings Calculator</a></li><li><a href='http://www.softwaresherpa.com/sap-businessobjects-maintains-leadership-position-in-gartners-magic-quadrant-for-data-quality-tools-for-4th-year-in-a-row/' rel='bookmark' title='Permanent Link: SAP BusinessObjects Maintains Leadership Position in Gartner&#8217;s Magic Quadrant for Data Quality Tools for 4th Year in a Row'>SAP BusinessObjects Maintains Leadership Position in Gartner&#8217;s Magic Quadrant for Data Quality Tools for 4th Year in a Row</a></li><li><a href='http://www.softwaresherpa.com/webinar-tdwi-webcast-on-data-integration-and-data-quality/' rel='bookmark' title='Permanent Link: Webinar: TDWI Webcast on Data Integration and Data Quality'>Webinar: TDWI Webcast on Data Integration and Data Quality</a></li></ol></p>]]></content:encoded>
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		<title>SAP BusinessObjects Maintains Leadership Position in Gartner&#8217;s Magic Quadrant for Data Quality Tools for 4th Year in a Row</title>
		<link>http://www.softwaresherpa.com/sap-businessobjects-maintains-leadership-position-in-gartners-magic-quadrant-for-data-quality-tools-for-4th-year-in-a-row/</link>
		<comments>http://www.softwaresherpa.com/sap-businessobjects-maintains-leadership-position-in-gartners-magic-quadrant-for-data-quality-tools-for-4th-year-in-a-row/#comments</comments>
		<pubDate>Tue, 11 Aug 2009 17:08:29 +0000</pubDate>
		<dc:creator>Sean Anderson</dc:creator>
				<category><![CDATA[Data Integration]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Gartner]]></category>
		<category><![CDATA[Information Management]]></category>
		<category><![CDATA[SAP BusinessObjects Enterprise Information Management]]></category>
		<category><![CDATA[Magic Quadrant]]></category>

		<guid isPermaLink="false">http://www.softwaresherpa.com/?p=248</guid>
		<description><![CDATA[If your organization is currently evaluating enterprise information management solutions, Gartner&#8217;s Magic Quadrant for Data Quality Tools is an important reference document for you as you create your vendor &#8220;short list&#8221;. Published annually, the report covers data quality from an overall company perspective &#8211; product, services, and business execution &#8211; so the ranking encompasses more [...]


Related posts:<ol><li><a href='http://www.softwaresherpa.com/webinar-tdwi-webcast-on-data-integration-and-data-quality/' rel='bookmark' title='Permanent Link: Webinar: TDWI Webcast on Data Integration and Data Quality'>Webinar: TDWI Webcast on Data Integration and Data Quality</a></li><li><a href='http://www.softwaresherpa.com/data-quality-roi-calculator-for-marketing/' rel='bookmark' title='Permanent Link: Data Quality ROI Calculator for Marketing'>Data Quality ROI Calculator for Marketing</a></li><li><a href='http://www.softwaresherpa.com/webinar-how-to-transform-flawed-data-into-trusted-information/' rel='bookmark' title='Permanent Link: Webinar: How to Transform Flawed Data into Trusted Information'>Webinar: How to Transform Flawed Data into Trusted Information</a></li></ol>]]></description>
			<content:encoded><![CDATA[<p>If your organization is currently evaluating enterprise information management solutions, <a href="http://www.gartner.com/it/products/mq/mq_ms.jsp" target="_blank">Gartner&#8217;s Magic Quadrant for Data Quality Tools</a> is an important reference document for you as you create your vendor &#8220;short list&#8221;.</p>
<p>Published annually, the report covers data quality from an overall company perspective &#8211; product, services, and business execution &#8211; so the ranking encompasses more than product capabilities. It is a point-in-time view by two Gartner analysts with input from a limited number of customers.</p>
<p>Eventhough 2009 represents the first Magic Quadrant scoring for a combined SAP and Business Objects, SAP BusinessObjects maintained its Leaders quadrant position for the 4th year in a row, based on completeness of vision and ability to execute, a significant accomplishment given the size of the integration.</p>
<p><strong>Here are some highlights from the report:</strong></p>
<ul>
<li>“As part of SAP, the vendor’s growth prospects are further expanded via access to the global SAP applications customer base, where data quality challenges are prevalent.”</li>
<li>“Business Objects provided a good breadth of functional data quality capabilities, including data profiling (via Data Insight XI) and common data-cleansing operations (via Data Quality XI)”. “Consistent with increasing market demand for tightly integrated data integration and data quality functionality, Data Services is seeing increased adoption…”</li>
<li>“SAP Business Objects’ strength in this market remains very much in applications of customer/party data quality, specifically in matching/linking, deduplification and name and address standardization and validation.”</li>
</ul>
<p>All in all, the report is a great confirmation of SAP BusinessObjects&#8217; comprehensive data quality technology which is now provided with enterprise-calibre data integration all on a single, unified platform with Data Services.</p>
<p>To view the complete Gartner Magic Quadrant for Data Quality Tools report, please visit: <a href="http://www.gartner.com/it/products/mq/mq_ms.jsp">http://www.gartner.com/it/products/mq/mq_ms.jsp</a></p>


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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Webinar: Information Management 101 &#8211; Building A Solid Foundation For Business Intelligence</title>
		<link>http://www.softwaresherpa.com/webinar-sap-businessobjects-enterprise-information-management/</link>
		<comments>http://www.softwaresherpa.com/webinar-sap-businessobjects-enterprise-information-management/#comments</comments>
		<pubDate>Mon, 10 Aug 2009 16:12:51 +0000</pubDate>
		<dc:creator>Sean Anderson</dc:creator>
				<category><![CDATA[Data Integration]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[ETL]]></category>
		<category><![CDATA[Information Management]]></category>

		<guid isPermaLink="false">http://www.softwaresherpa.com/?p=239</guid>
		<description><![CDATA[Registration: https://sap.webex.com/sap/j.php?ED=99616777 Date: August 19, 2009 Time: 1:00 PM EST Ever-increasing volumes of fragmented data &#8211; if not properly managed &#8211; can lead to unnecessarily high operational costs, poor business decisions, damaged customer and partner relationships, lost business opportunities, and steep penalties for failure to comply with regulations. Firms that pay attention to their data [...]


Related posts:<ol><li><a href='http://www.softwaresherpa.com/webinar-how-to-transform-flawed-data-into-trusted-information/' rel='bookmark' title='Permanent Link: Webinar: How to Transform Flawed Data into Trusted Information'>Webinar: How to Transform Flawed Data into Trusted Information</a></li><li><a href='http://www.softwaresherpa.com/webinar-tdwi-webcast-on-data-integration-and-data-quality/' rel='bookmark' title='Permanent Link: Webinar: TDWI Webcast on Data Integration and Data Quality'>Webinar: TDWI Webcast on Data Integration and Data Quality</a></li><li><a href='http://www.softwaresherpa.com/webinar-business-intelligence-for-oracle-peoplesoft-jd-edwards-and-siebel-applications/' rel='bookmark' title='Permanent Link: Webinar: Business Intelligence For Oracle, Peoplesoft, JD Edwards and Siebel Applications'>Webinar: Business Intelligence For Oracle, Peoplesoft, JD Edwards and Siebel Applications</a></li></ol>]]></description>
			<content:encoded><![CDATA[<p><strong>Registration:</strong> <a href="https://sap.webex.com/sap/j.php?ED=99616777">https://sap.webex.com/sap/j.php?ED=99616777</a><br />
<strong>Date:</strong> August 19, 2009<br />
<strong>Time:</strong> 1:00 PM EST</p>
<p>Ever-increasing volumes of fragmented data &#8211; if not properly managed &#8211; can lead to unnecessarily high operational costs, poor business decisions, damaged customer and partner relationships, lost business opportunities, and steep penalties for failure to comply with regulations.</p>
<p>Firms that pay attention to their data are the ones that will survive and thrive. Helping to ensure your organization can fully capitalize on its enterprise data, SAP BusinessObjects Entrerprise Information Management (EIM) solutions combined with the master data management and information life-cycle management capabilities support the infrastructure requirements of your enterprise information management strategy. The combined EIM solutions from SAP BusinessObjects address the trusted data requirements of your operational and analytic initiatives, and support the data governance process that enables these initiatives. It helps you create a strategic information management vision while transforming your data into competitive advantage.</p>
<p>SAP BusinessObjects enterprise information management solutions provide comprehensive information management functionality that can help you deliver integrated, accurate, and timely data &#8211; both structured and unstructured &#8211; across your enterprise. These powerful solutions can empower you to provide trusted data for key initiatives such as business transaction processing, business intelligence, data warehousing, data migration, and master data management.</p>
<p>Our webcast will show you how these solutions and a comprehensive information management strategy can help you avoid the pitfalls that arise from inaccurate data.</p>


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