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DTSTAMP:20260711T090647Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2023west.data
 versity.net/sessionPop.cfm?confid=152&proposalid=14398\nAccurate business r
 eporting and data analytics can only be achieved using high-quality data. Y
 et many organizations either do not have a data quality program or they jus
 t focus on standardizing source data. Having a complete, ongoing program to
  measure, monitor, and improve the quality of data is a competitive advanta
 ge for an organization in today’s data-driven economy. This tutorial 
 is primarily for participants starting a comprehensive data quality program
  or wanting to assess and improve the capabilities of an existing data qual
 ity program. Participants will learn\n\n	The definition of data quality\n
 The principle of managing information as product*\n
 What we can learn from manufacturing Total Quality Management (TQM)\n
 Supply-side versus demand-side data quality management\n
 The ISO 8000-61 Model for data quality management*\n
 The basics of data quality analysis*\n
 Introduction to the Data Quality Assessment Framework (DQAF)\n\n*Hands-on E
 xercises\n
DTSTART:20230605T083000
SUMMARY:T7: A Roadmap for Building a Successful Data Quality Program
DTEND:20230605T114459
LOCATION: See Description
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