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DTSTAMP:20260514T064128Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12673\nExperts agree that to ma
 nage and improve data quality, you must&nbsp;measure data quality. But dete
 rmining what and how to measure is often challenging.&nbsp;This seminar wil
 l provide participants with a comprehensive and adaptable framework for&nbs
 p;data quality assessment.\nIt will cover:\n\n
 The challenges of measuring data quality and how to address them.\n
 DQ assessment in context: understanding the goals and measurement activitie
 s and deliverables associated with initial assessment, in-line measurement 
 and control, and periodic reassessment of data. Review a template for captu
 ring 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 design
 ed to solicit and document clear expectations related to specific dimension
 s 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:20210420T080000
SUMMARY:T14: Data Quality Assessment and Measurement
DTEND:20210420T105959
LOCATION: See Description
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