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DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14482\nWhenever we talk abo
 ut data, data quality, or data governance, the topic of metadata invariably
  is integral to the conversation. The rules that define what we mean by dat
 a quality as well as the results of profiling the data and analyzing the ou
 tput are all metadata. While data governance governs decision rights and pr
 ocedures (among other things) for getting to managed data, the things we wa
 nt to know about our data, and how those things are connected together into
  an information model are ALL metadata.\n\nAnd yet, the quality of the meta
 data is rarely discussed or practiced. But poor-quality metadata – fr
 om incomplete definitions to missing values for information security classi
 fication to incorrect data types to inaccurate data quality rules – c
 an have a catastrophic effect on the understanding and use of the data it d
 escribes. Improving the quality of your metadata is thus a worthwhile endea
 vor, perhaps as much as improving the quality of your data.\n\nYou will lea
 rn:\n\n	How to think about metadata as data\n
 The dimensions of metadata quality and samples of rules\n
 The impact of poor metadata quality\n
 Building the information model to specify metadata quality rules\n
 “Profiling” metadata quality: some art, some science\n
 Recording and analyzing the results of metadata profiling\n
 The impact of metadata quality on privacy regulations\n
 How quality metadata drives lineage\n
 Using Data Governance tools to improve metadata quality\n\n
DTSTART:20230918T124500
SUMMARY:T10: Metadata Quality: Ignore at Your Own Risk!
DTEND:20230918T155959
LOCATION: See Description
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