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DTSTAMP:20260517T052926Z
DESCRIPTION:Click for Latest Location Information: http://edw2022.dataversi
 ty.net/sessionPop.cfm?confid=129&proposalid=13199\nGreat! Your organization
  wants to manage its data as an asset or has established Enterprise Data Go
 vernance.&nbsp;Now what?&nbsp;What are the capabilities and components need
 ed to support these enterprise data management endeavors and how do they fi
 t together?&nbsp;How do you implement systems for enterprise data managemen
 t?\nData Quality, Data Governance &amp; Stewardship, and Master Data Manage
 ment programs (together referred to as Enterprise Data Management) use tool
 s to support the activities of the program stakeholders, most notably the D
 ata Stewards, the program facilitators, and other IT business stakeholders.
 \nThis session will explain the capabilities and tools needed to provide en
 terprise data management, how these tools integrate together, how to justif
 y the investment, and how to roll them out.&nbsp; It will include examples 
 and case studies.\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 &amp;
  Reference Data Management\n
 Understanding and assessing data - Data Profiling\n
 On-going monitoring and measuring of data quality - Data Quality\n
 Managing data quality &amp; other issues - Issue Tracking\n
 Reporting &amp; Analytics - Warehouses &amp; Lakes\n\n
DTSTART:20220320T143000
SUMMARY:How to Architect Enterprise Data Management Capabilities
DTEND:20220320T174459
LOCATION: See Description
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