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DTSTAMP:20260717T202753Z
DESCRIPTION:Click for Latest Location Information: http://edw2020.dataversi
 ty.net/sessionPop.cfm?confid=128&proposalid=11656\n<p>Experts agree that to
  improve data quality, you must be able to measure data quality. But determ
 ining what and how to measure is often challenging. This workshop will prov
 ide participants with a comprehensive and adaptable approach to data qualit
 y 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&nbsp;and establish requirements for data quality. Review a template d
 esigned to solicit and document clear expectations related to specific dime
 nsions 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:20200322T143000
SUMMARY:W4: Data Quality Assessment and Measurement
DTEND:20200322T174459
LOCATION: See Description
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