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 componen ts needed to support these enterprise data management endeavors and how do they fit together? How do you develop an architecture for enterprise data m anagement?
\nData Quality, Data Governance & Stewardship, and MDM programs (together now 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 and business stakehold ers.
\nThis session will explain the capabilities and tools needed to provide enterprise data management, how these tools integrate together, ho w to justify the investment, and how to roll them out. It will include exam ples and case studies.
\nEnterprise Data Management Capabilit ies
\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 & Reference Data Management\n Understanding and assessing data - Data Profiling\n On-going monitoring of data quality –Data Quality\n Measuring data quality and program activity – Calculating Metrics\n Managing data quality & other issues – Issue Tracking\n Presenting information - Reporting and Analytics – Warehouses & L akes\n\nHow the solutions integrate together
\n\n The technical view\n The business users view\n Do you need all these pieces?\n\nJustifying the investment &ndas h; Calculating ROI
\nUsing an Agile approach to impl ement capabilities
\n DTSTART:20190317T143000 SUMMARY:Architecting for Enterprise Data Management and Governance DTEND:20190317T174459 LOCATION: See Description END:VEVENT END:VCALENDAR