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DESCRIPTION:Click for Latest Location Information: http://dgiq2022east.data
 versity.net/sessionPop.cfm?confid=151&proposalid=13970\nData is the raw inv
 entory in today’s Data Factories. Data comes in all types, grains, an
 d levels of complexity. Like in any factory, inventory needs to be managed.
  This is true of widgets and it is certainly true of data. Data inventory m
 anagement begins with classification. Classification requires identificatio
 n, tagging, then grouping data into like subject areas. Associating the sub
 ject areas to the business and technology landscape is part of the ove
 rall governance metadata framework. Once tagged, we require precise aw
 areness of location and availability. We also need to capture the risk leve
 ls such as confidentiality or PII tags. We can optimize data inventory to h
 ave just the right amount, at the right time, and in line with minimum qual
 ity standards. This presentation draws clear parallels between the nee
 d for precise classification and how we can minimize data waste and risk th
 rough effective data inventory management — both structured and unstr
 uctured data. During this presentation, you will learn:\n\n
 How to define a clear data classification scheme.\n
 Aligning classifications to your information security standards.\n
 Tagging and metadata management.\n
 Associating subject areas of data back to the business.\n
 Defining the system of record for each data group.\n
 Aligning structured and unstructured data classification.\n\n
DTSTART:20221207T114500
SUMMARY:Effective Data Classification Is Critical for Data Governance
DTEND:20221207T122959
LOCATION: See Description
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