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DTSTAMP:20260511T173108Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022east.data
 versity.net/sessionPop.cfm?confid=151&proposalid=13911\nNOTE: This 2-day se
 minar continues through Friday.\n\nOrganizations are increasingly empowerin
 g a growing variety of data consumers to innovate their reporting, business
  intelligence, and advanced analytics. Yet expanding access to data comes w
 ith some risks, especially with increased concerns about ensuring complianc
 e with a variety of business policies, industry guidelines, and laws and re
 gulations.\nConventional approaches to data governance focusing on operatin
 g models and org charts are necessary but insufficient. Practical deploymen
 t 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.\nIn this seminar, we discuss aspects of a 
 framework for identifying business objectives that have implied data polici
 es, identifying and defining those policies, and how different types of dat
 a policies are managed as part of a Data Governance program. We then discus
 s ways of distilling business policies from business objectives, identifyin
 g data dependencies, defining business-relevant data policies, methods of d
 ata policy compliance, and ways that tools support data policy enforcement.
  We will explore how taxonomies are used for data asset classification as w
 ell as clarify data consumer roles and data privileges.\nWe will have some 
 collaborative exercises to decompose a regulation and identify the relevant
  components and taxonomies inherent in the regulation.\nAttendees will lear
 n 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:20221208T083000
SUMMARY:S1: Data Policy Governance: Defining and Operationalizing Data Poli
 cies
DTEND:20221208T155959
LOCATION: See Description
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