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DTSTAMP:20260421T232130Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024west.data
 versity.net/sessionPop.cfm?confid=160&proposalid=15445\nNOTE: This 2-day Se
 minar continues from Thursday.\n\nOrganizations are increasingly empowering
  a growing variety of data consumers to innovate their reporting, business 
 intelligence, and advanced analytics. Yet expanding access to data comes wi
 th some risks, especially with increased concerns about ensuring compliance
  with a variety of business policies, industry guidelines, and laws and reg
 ulations.\n\nConventional approaches to data governance focusing on operati
 ng models and org charts are necessary but insufficient. Practical deployme
 nt of strategic data governance combines the definition of data policies an
 d methods for operationalizing those data policies, along with descriptions
  of the roles and responsibilities for ensuring how data policy compliance 
 aligns with business objectives.\n\nIn this seminar, we discuss aspects of 
 a framework for identifying business objectives that have implied data poli
 cies, identifying and defining those policies, and how different types of d
 ata policies are managed as part of a data governance program. We then disc
 uss ways of distilling business policies from business objectives, identify
 ing data dependencies, defining business-relevant data policies, methods of
  data policy compliance, and ways that tools support data policy enforcemen
 t. We will explore how taxonomies are used for data asset classification as
  well as clarifying data consumer roles and data privileges.\n\nWe will hav
 e some collaborative exercises to decompose a regulation and identify the r
 elevant 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 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:20240607T083000
SUMMARY:S1: Data Policy Governance: Defining and Operationalizing Data Poli
 cies (Continued from Thursday)
DTEND:20240607T145959
LOCATION: See Description
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