Great! Your organizat ion wants to manage their data as an asset or has established enterprise da ta governance. Now what? What are the capabilities and components needed to support these enterprise data management endeavors and how do th ey fit together? How do you implement systems for enterprise data managemen t?
\nData Quality, Data Governance and Stewardship, and MDM prog rams (together referred to as Enterprise Data Management) use tools to supp ort the activities of the program stakeholders, most notably the Data Stewa rds, the program facilitators, and other IT and business stakeholders.
\ nThis session will explain the capabilities and tools needed to provide enterprise data management, how these tools integrate together, how to just ify the investment, and how to roll them out. 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 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:20200322T143000 SUMMARY:W5: How to Implement Systems for Enterprise Data Management and Gov ernance DTEND:20200322T174459 LOCATION: See Description END:VEVENT END:VCALENDAR