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DESCRIPTION:Click for Latest Location Information: http://edw2014.dataversity.net/sessionPop.cfm?confid=79&proposalid=6715\nRadar operators during WWII worked tirelessly to improve the quality of their signal, with the threat of bombs ever present. Today’s executives face a similar if less dangerous challenge in trying to reduce the noise that filters through their million-dollar information systems. The task is daunting because of the complexity that underlies reports and analytical solutions. Solving this problem requires more than a data quality tool, because much of the distortion that bedevils these systems results from a variety of factors, including hidden business rules, faulty integration points, conflated definitions and other factors.\nIn this 30-minute presentation, Dr. Geoffrey Malafsky will explain why organizations must focus on a record-based view of enterprise data. He will provide details on his institute’s methodology, which addresses several critical components of enterprise data normalization, including business rules, analytic arbitration, semantic disambiguation and system reconciliation. He will show how careful attention to detail can reveal important snippets of information, paving the way for renewed trust in enterprise information assets.
DTSTART:20140428T120000
SUMMARY:Data Distortion – How to Improve the Signal to Noise Ratio
DTEND:20140428T122959
LOCATION: See Description
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