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DTSTAMP:20260613T192133Z
DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12395\nGreat! Your organ
 ization wants to manage their data as an asset or has established enterpris
 e data governance. Now what? What are the capabilities and compon
 ents needed to support these enterprise data management endeavors and how d
 o they fit together? How do you implement systems for enterprise data manag
 ement?\nData Quality, Data Governance and Stewardship, and MDM program
 s (together referred to as Enterprise Data Management) use tools to support
  the activities of the program stakeholders, most notably the Data Stewards
 , the program facilitators, and other IT and business stakeholders.\nThis s
 ession will explain the capabilities and tools needed to provide enterprise
  data management, how these tools integrate together, how to justify the in
 vestment, and how to roll them out.\nIt will include examples and case stud
 ies:\nEnterprise Data Management Capabilities \n\n
 Implementing a data inventory – Technical Metadata Management  \
 n	Understanding your data – Business Metadata Management\n
 Providing Data as a Service – the Data Catalog\n
 Managing data needed across the organization – Master Data Management
  and Reference Data Management\n
 Understanding and assessing data – Data Profiling\n
 Ongoing monitoring of data quality – Data Quality\n
 Measuring data quality and program activity – Calculating Metrics\n
 Managing data quality and other issues – Issue Tracking\n
 Presenting information – Reporting and Analytics – Warehou
 ses and Lakes\n\nHow the Solutions Integrate Together\n\n
 The technical view\n	The business users view\n
 Do you need all these pieces?\n	The standard data pipeline\n
 The Enterprise Data Management Pipeline\n\n
DTSTART:20201019T133000
SUMMARY:PM3: How to Implement Systems for Enterprise Data Management and Go
 vernance
DTEND:20201019T164459
LOCATION: See Description
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