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DESCRIPTION:Click for Latest Location Information: http://edw2010.wilshireconferences.com/sessionPop.cfm?confid=38&proposalid=2173\nInvestments in business intelligence and data warehouse strategies leave many organizations probing for spend justification. In reality, the consequence of not improving the quality of data that feed these systems is the peril of not producing accurate results. Organizations that invest consistently in quality practices and technologies demonstrate a higher measure of return on resources applied to business intelligence efforts. In this session, we explore the recent advances in data quality management and how these contribute to a higher yield in productivity from a business context. Participants learn firsthand the economic goals behind data matching and why this important technology approach is delivering bottom-line improvements across the board. Fundamental lessons of this session include: \n<ul>\n<li>Establishing key performance indicators and norms to decipher data quality </li>\n<li>Economic benefits and relative efficiencies of a solid data management strategy </li>\n<li>Yield management and what this means with regard to productivity </li>\n<li>Step-by-step ways to integrate data management and enhance business process rules simultaneously </li>\n<li>Sampling overview of the methods and technologies that produce the greatest shift in data clarity</li></ul>
DTSTART:20100315T170000
SUMMARY:Deciding the Case for Data Quality Investments
DTEND:20100315T175959
LOCATION: See Description
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