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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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ill learn: