Whenever we talk abou t data, data quality, or data governance, the topic of metadata invariably 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 out put are all metadata. While data governance governs decision rights and pro cedures (among other things) for getting to managed data, the things we wan t to know about our data, and how those things are connected together into an information model, are ALL metadata. And yet, the quality of the metadat a is rarely discussed or practiced. But poor-quality metadata – from incomplete definitions, to missing values for information security classifi cation, 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.
\nYou wil l 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:20200323T133000 SUMMARY:PM5: Metadata Quality: Ignore at Your Own Risk! DTEND:20200323T164459 LOCATION: See Description END:VEVENT END:VCALENDAR