BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260711T083255Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2023west.data
 versity.net/sessionPop.cfm?confid=152&proposalid=14275\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 tutorial, we discuss aspects of a f
 ramework for identifying business objectives that have implied data policie
 s, 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 da
 ta policy compliance, and ways that tools support data policy enforcement. 
 We will explore how taxonomies are used for data asset classification as we
 ll as clarifying data consumer roles and data privileges.\n\nWe will have s
 ome collaborative exercises to decompose a regulation and identify the rele
 vant components and taxonomies inherent in the regulation.\n\nAttendees wil
 l 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:20230608T083000
SUMMARY:S1: Data Policy Governance: Defining and Operationalizing Data Poli
 cies (Continues to Friday)
DTEND:20230608T155959
LOCATION: See Description
END:VEVENT
END:VCALENDAR