BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260410T161146Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2023east.data
 versity.net/sessionPop.cfm?confid=158&proposalid=14766\nHow to Get Started,
  and How to Assess and Improve What You Have\nAccurate business reporting a
 nd data analytics can only be achieved using high-quality data. Yet many or
 ganizations either do not have a data quality program, or they just focus o
 n standardizing source data. Having a complete, ongoing program to measure,
  monitor, and improve the quality of data is a competitive advantage for an
  organization in today’s data-driven economy. This tutorial is primar
 ily for participants starting a comprehensive data quality program or wanti
 ng to assess and improve the capabilities of an existing data quality progr
 am. Participants will learn:\n\n
 The definition of data quality, data quality control, and data quality assu
 rance\n	The principle of managing information as product*\n
 What we can learn from manufacturing Total Quality Management (TQM)\n
 Supply-side (producer) versus demand-side (consumer) data quality managemen
 t\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
 The impact of AI on Data Quality Management\n\n*Hands-on Exercises\n
DTSTART:20231204T083000
SUMMARY:T6: A Roadmap for Building a Successful Data Quality Program
DTEND:20231204T114459
LOCATION: See Description
END:VEVENT
END:VCALENDAR