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DESCRIPTION:Click for Latest Location Information: http://dgiq2022west.data
 versity.net/sessionPop.cfm?confid=148&proposalid=13759\nThe old saying &ldq
 uo;Garbage in means garbage out!” is as relevant today as it was in t
 he past. Accurate reporting, business intelligence, and data analytics can 
 only be achieved using high-quality data. Yet many organizations either do 
 not have a data quality program and have never tried to measure the quality
  of their data, or they just focus on standardizing source data. Having a c
 omplete, ongoing program to measure, monitor, and improve the quality of da
 ta is a competitive advantage for an organization in today’s data-dri
 ven economy. A data quality program is also an essential enabler of a data 
 governance program. This tutorial is primarily directed to participants who
 se organizations are trying to start a comprehensive data quality program o
 r whose organizations are wanting to assess and improve the capability of t
 heir existing data quality program. Participants in this tutorial will lear
 n:\n\n	\n
 How to define data quality in terms of data requirements and data standards
 \n	\n	\n
 How to apply the proven principles of total quality management (TQM) to imp
 rove the quality of your data and data processes, including a hands-on exer
 cise\n	\n	\n
 How to get away from reactive supply-side data quality management and trans
 form your operations into demand-side data quality management to get ahead 
 of data quality issues and continually improve data operations\n	\n	\n
 Understand the new ISO 8000-61 reference model for data quality management 
 and what is required to be in compliance with the standard\n	\n	\n
 How to interpret data profiling results — how to use column profiling
 , frequency profiling, pattern profiling, and data redundancy profiling to 
 assess data, including a hands-on exercise\n	\n	\n
 Introduction to the Data Quality Assessment Framework (DQAF) for building a
  comprehensive system for data quality measurement\n	\n\n
DTSTART:20220606T083000
SUMMARY:T5: A Roadmap for Building a Successful Data Quality Program: How t
 o Get Started, and How to Assess and Improve What You Have
DTEND:20220606T114459
LOCATION: See Description
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