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DTSTAMP:20260720T104246Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022west.data
 versity.net/sessionPop.cfm?confid=148&proposalid=13591\nOrganizations are i
 ncreasingly empowering a growing variety of data consumers to innovate thei
 r reporting, business intelligence, and advanced analytics. Yet expanding a
 ccess to data comes with some risks, especially with increased concerns abo
 ut ensuring compliance with a variety of business policies, industry guidel
 ines, and laws and regulations.\nConventional approaches to data governance
  focusing on operating models and org charts are necessary but insufficient
 . Practical deployment of strategic data governance combines the definition
  of data policies&nbsp;and methods for operationalizing those data policies
 , along with descriptions of the roles and responsibilities for ensuring ho
 w data policy compliance aligns with business objectives.\nIn this workshop
 , we will discuss aspects of a framework for identifying business objective
 s that have implied data policies, identifying and defining those policies,
  and how different types of data policies are managed as part of a data gov
 ernance program. We will then discuss ways of distilling business policies 
 from business objectives, identifying data dependencies, and defining busin
 ess-relevant data policies, methods of data policy compliance, and ways tha
 t tools support data policy enforcement. We will explore how taxonomies are
  used for data asset classification as well as clarify data consumer roles 
 and data privileges.\nWe will have some collaborative exercises to decompos
 e a regulation and identify the relevant components and taxonomies inherent
  in the regulation.\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:20220609T083000
SUMMARY:W1: Data Policy Governance: Defining and Operationalizing Data Poli
 cies
DTEND:20220609T155959
LOCATION: See Description
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