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DESCRIPTION:Click for Latest Location Information: http://dgiq2023east.data
 versity.net/sessionPop.cfm?confid=158&proposalid=14738\nNOTE: This 2-day Se
 minar continues to Friday.\n\nOrganizations are increasingly empowering a g
 rowing variety of data consumers to innovate their reporting, business inte
 lligence, and advanced analytics. Yet expanding access to data comes with s
 ome risks, especially with increased concerns about ensuring compliance wit
 h a variety of business policies, industry guidelines, and laws and regulat
 ions.\n\nConventional approaches to data governance focusing on operating m
 odels and org charts are necessary but insufficient. Practical deployment o
 f strategic data governance combines the definition of data policies and me
 thods for operationalizing those data policies, along with descriptions of 
 the roles and responsibilities for ensuring how data policy compliance alig
 ns with business objectives.\n\nIn this seminar, we discuss aspects of a fr
 amework for identifying business objectives that have implied data policies
 , identifying and defining those policies, and how different types of data 
 policies are managed as part of a data governance program. We then discuss 
 ways of distilling business policies from business objectives, identifying 
 data dependencies, defining business-relevant data policies, methods of dat
 a policy compliance, and ways that tools support data policy enforcement. W
 e will explore how taxonomies are used for data asset classification as wel
 l as clarifying data consumer roles and data privileges.\n\nWe will have so
 me collaborative exercises to decompose a regulation and identify the relev
 ant components and taxonomies inherent in the regulation.\n\nAttendees will
  learn about:\n\n	Goals of data policy governance\n
 Data policy basics: What is a data policy, and translating directives into 
 data policies\n
 Developing taxonomies for data asset description, categorization, and class
 ification\n	Assessing the enterprise data landscape\n
 Capturing data asset metadata&nbsp;in a data catalog\n
 Roles and privileges of the data consumers\n
 Processes for bridging the gaps between the data owners, IT, and data consu
 mers\n\n
DTSTART:20231207T083000
SUMMARY:S3: Data Policy Governance: Defining and Operationalizing Data Poli
 cies
DTEND:20231207T155959
LOCATION: See Description
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