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DTSTAMP:20260421T173602Z
DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9468\n<p>Experts agree that to 
 improve data quality, you must be able to measure data quality. But determi
 ning what and how to measure is often challenging. This seminar will provid
 e participants with a comprehensive and adaptable approach to data quality 
 assessment. It will cover:</p>\n\n
 The challenges of measuring data quality and how to address them.\n
 DQ assessment in context: Understand the goals and measurement activities a
 nd deliverables associated with initial assessment, in-line measurement and
  control, and periodic reassessment of data. Review a template for capturin
 g results of data analysis from these processes.&nbsp;\n
 Initial Assessment: Review an approach to data profiling and initial data a
 ssessment that allows capture of important observations about the condition
  of data.\n
 Defining DQ requirements: Learn how to define measurable characteristics of
  data, and establish requirements for data quality. Review a template desig
 ned to solicit and document clear expectations related to specific dimensio
 ns of quality.&nbsp;\n
 Using measurement for improvement: Share examples of measurements that cont
 ribute to the ongoing improvement of data quality.\n\n
DTSTART:20180423T083000
SUMMARY:Data Quality Assessment and Measurement
DTEND:20180423T114459
LOCATION: See Description
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