BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20260511T023854Z DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi ty.net/sessionPop.cfm?confid=121&proposalid=9321\n

Whenever we talk about data, data quality, or data governance, the topic of metadata invariably i s 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 outp ut are all metadata. While data governance governs decision rights and proc edures (among other things) for getting to managed data, the things we want to know about our data, and how those things are connected together into a n information model are ALL metadata. And yet, the quality of the metadata is rarely discussed or practiced. But poor quality metadata – from in complete definitions to missing values for information security classificat ion to incorrect data types to inaccurate data quality rules – can ha ve a catastrophic effect on the understanding and use of the data it descri bes. Improving the quality of your metadata is thus a worthwhile endeavor, perhaps as much as improving the quality of your data.
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\nYou w ill learn:

\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:20180425T120000 SUMMARY:Metadata Quality: Ignore at Your Own Risk! DTEND:20180425T125959 LOCATION: See Description END:VEVENT END:VCALENDAR