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DESCRIPTION:Click for Latest Location Information: http://dgiq2023west.data
 versity.net/sessionPop.cfm?confid=152&proposalid=14352\n\nData catalogs can
  be leveraged to do much more than list an organization’s data assets
  and make them searchable via metadata. This presentation demonstrates one 
 outcome of capitalizing on the capabilities of a graph-powered data catalog
  and incorporating it into an organization’s data quality process pip
 eline: automated data quality management that includes the production of re
 ports for consumption by business stakeholders, managers, data stewards, an
 d technical analysts and enterprise architects alike.\n\n\n \n\n\nThis
  case study of a big data implementation of this process is focused on the 
 needs of the technical team and business stakeholders’ need for a sta
 ndardized, continuous data quality management process for the replatform of
  an entity resolution system. Participants will come away with an understan
 ding of how the catalog addressed these needs, how the solution was impleme
 nted, the benefits it provided, as well as lessons learned throughout the p
 rocess.\n\n\n \n\n\nThis presentation addresses the following key poin
 ts:\n\n\n	\n
 Identifying the utility of a data catalog as a data quality management tool
 \n	\n	\n
 How automated data quality management fits into an organization’s lar
 ger data governance policy\n	\n	\n
 How to leverage a data catalog to produce automated reports, including impa
 ct analyses and status snapshots\n	\n	\n
 Describing the benefits of this process at an organizational level as it pe
 rtains to both business and technical teams\n	\n	\n
 Lessons learned throughout the implementation of this automated data qualit
 y management process\n	\n\n
DTSTART:20230607T134500
SUMMARY:Enabling Automated Data Quality Management with a Data Catalog
DTEND:20230607T142959
LOCATION: See Description
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