BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260414T001402Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2021.datavers
 ity.net/sessionPop.cfm?confid=147&proposalid=12961\nOrganizations are incre
 asingly empowering a growing variety of data consumers to innovate their re
 porting, business intelligence, and advanced analytics. Yet expanding acces
 s to data comes with some risks, especially with increased concerns about e
 nsuring compliance with a variety of business policies, industry guidelines
 , and laws and regulations.\nConventional approaches to Data Governance foc
 using on operating models and org charts are necessary but insufficient. Pr
 actical deployment of strategic Data Governance combines the definition of 
 data policies and&nbsp;methods for operationalizing those data policies, al
 ong with descriptions of the roles and responsibilities for ensuring how da
 ta policy compliance aligns with business objectives.\nIn this tutorial, we
  will&nbsp;discuss aspects of a framework for identifying business objectiv
 es that have implied data policies, identifying and defining those policies
 , and how different types of data policies are managed as part of a Data Go
 vernance program. We will&nbsp;then discuss ways of distilling business pol
 icies from business objectives, identifying data dependencies, defining bus
 iness-relevant data policies, discussing methods of data policy compliance,
 &nbsp;and reviewing ways that tools support data policy enforcement. We wil
 l explore how taxonomies are used for data asset classification as well as 
 clarify&nbsp;data consumer roles and data privileges.\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:20211206T083000
SUMMARY:T5: Data Policy Governance: Defining and Operationalizing Data Poli
 cies
DTEND:20211206T114459
LOCATION: See Description
END:VEVENT
END:VCALENDAR