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DESCRIPTION:Click for Latest Location Information: http://edw2015.dataversity.net/sessionPop.cfm?confid=87&proposalid=7236\nExperts agree that to improve data quality, you must be able to measure data quality.  But determining what and how to measure is often challenging. The purpose of this tutorial is to provide participants with a comprehensive and adaptable approach to data quality assessment. \nThe challenges of measuring data quality and how to address them. \nDQ assessment in context: Understand the goals and measurement activities and deliverables associated with initial assessment, in-line measurement and control, and periodic reassessment of data. Review a template for capturing results of data analysis from these processes. \nDefining DQ requirements: Learn how to define measurable characteristics of data and establish requirements for data quality. Review a template designed to solicit and document clear expectations related to specific dimensions of quality.\nUsing measurement for improvement: Share examples of measurements that contribute to the ongoing improvement of data quality.
DTSTART:20150330T133000
SUMMARY:PM4: Data Quality Assessment and Measurement
DTEND:20150330T164459
LOCATION: See Description
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