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DTSTAMP:20260514T065739Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12819\nGreat! Your organization
  wants to manage their data as an asset or has established enterprise data 
 governance. Now what? What are the capabilities and components ne
 eded to support these enterprise data management endeavors and how do they 
 fit together? How do you implement systems for enterprise data management?\
 nData Quality, Data Governance and Stewardship, and MDM programs (toge
 ther referred to as Enterprise Data Management) use tools to support the ac
 tivities of the program stakeholders, most notably the data stewards, the p
 rogram facilitators, and other IT and business stakeholders.\nThis session 
 will explain the capabilities and tools needed to provide enterprise data m
 anagement, how these tools integrate together, how to justify the investmen
 t, and how to roll them out. It will include examples and case studies.\nWe
  will cover:\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 – Warehouses and
  Lakes\n\n
DTSTART:20210419T080000
SUMMARY:T2: How to Implement Enterprise Data Management and Governance
DTEND:20210419T105959
LOCATION: See Description
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