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DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12296\nWhenever we talk 
 about data, data quality, or data governance, the topic of metadata invaria
 bly is integral to the conversation. The rules that define what we mean by 
 data quality as well as the results of profiling the data and analyzing the
  output are all metadata. While data governance governs decision rights and
  procedures (among other things) for getting to managed data, the things we
  want to know about our data, and how those things are connected together i
 nto an information model, are ALL metadata. And yet, the quality of the met
 adata is rarely discussed or practiced. But poor-quality metadata – f
 rom incomplete definitions, to missing values for information security clas
 sification, to incorrect data types, to inaccurate data quality rules &ndas
 h; can have a catastrophic effect on the understanding and use of the data 
 it describes. Improving the quality of your metadata is thus a worthwhile e
 ndeavor, perhaps as much as improving the quality of your data.\nYou will l
 earn:\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
 Using data governance tools to improve metadata quality\n\n
DTSTART:20201019T133000
SUMMARY:PM5: Metadata Quality: Ignore at Your Own Risk!
DTEND:20201019T164459
LOCATION: See Description
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