Great! Your organization wants to manage their data as an asset or has established enterprise data governance.  Now what?  What are the capabilities and components needed to support these enterprise data management endeavors and how do they fit together? How do you develop an architecture for enterprise data management?

Data Quality, Data Governance & Stewardship, and MDM programs (together now 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.

This session will explain the capabilities and tools needed to provide enterprise data management, how these tools integrate together, how to justify the investment, and how to roll them out. It will include examples and case studies.

Enterprise Data Management Capabilities 

• Implementing a data inventory – Technical Metadata Management  
• Understanding your data – Business Metadata Management
• Providing Data as a Service – the Data Catalog
• Managing data needed across the organization – Master Data Management & Reference Data Management
• Understanding and assessing data - Data Profiling
• On-going monitoring of data quality –Data Quality
• Measuring data quality and program activity – Calculating Metrics
• Managing data quality & other issues – Issue Tracking
• Presenting information - Reporting and Analytics – Warehouses & Lakes

How the solutions integrate together

• The technical view
• The business users view
• Do you need all these pieces?

Justifying the investment – Calculating ROI

Using an Agile approach to implement capabilities