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DTSTAMP:20260414T002639Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2021.datavers
 ity.net/sessionPop.cfm?confid=147&proposalid=13049\nAccurate business repor
 ting and data analytics can only be achieved using high-quality data. Yet m
 any organizations either do not have a Data Quality program, or they just f
 ocus on standardizing source data. Having a complete, ongoing program to me
 asure, monitor, and improve the quality of data is a competitive advantage 
 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 Quality
  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
 How to make a business case (ROI) for Data Quality\n
 The basics of Data Quality analysis\n
 Introduction to the Data Quality Assessment Framework (DQAF)\n\n
DTSTART:20211206T083000
SUMMARY:T6: A Roadmap for Building a Successful Data Quality Program: How t
 o Get Started, and How to Assess and Improve What You Have
DTEND:20211206T114459
LOCATION: See Description
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