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DTSTAMP:20260511T174826Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022east.data
 versity.net/sessionPop.cfm?confid=151&proposalid=14015\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 ju
 st focus on standardizing source data. Having a complete, ongoing program t
 o measure, monitor, and improve the quality of data is a competitive advant
 age for an organization in today’s data-driven economy. This tutorial
  is primarily for participants starting a comprehensive data quality progra
 m or wanting to assess and improve the capabilities of an existing data qua
 lity program.\nParticipants will learn:\n\n
 The definition of data quality\n
 The principle of managing information as a 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:20221205T083000
SUMMARY:T6: A Roadmap for Building a Successful Data Quality Program
DTEND:20221205T114459
LOCATION: See Description
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