TDWI Data Quality, Data Governance & Master Data Management Fundamentals 2014

TDWI Data Quality, Data Governance & Master Data Management Fundamentals 2014 is a course dedicated to business intelligence and data warehousing topics, including:

• Data Governance Fundamental
  • Key considerations and challenges in building a data governance program
  • Definitions and dimensions of data governance
  • The qualities that make good data stewards and stewardship organizations
  • The practices, roles, skills, and disciplines essential to data governance
  • Activities, issues, and options when building a data governance program
  • The processes of developing, executing, and sustaining data governance
• Data Quality Fundamentals
  • How to create an actionable definition of data quality
  • Definitions and dimensions of quality
  • Roles, responsibilities, and accountabilities in data quality management
  • Typical causes of data quality problems
  • Processes and techniques for data quality assessment and data quality improvement
  • Roles, uses, and limits of data quality tools and technology
• Master Data Management Fundamental
  • Architectural options for MDM: repository, registry, engine, and broker
  • The what and why of MDM
  • Hierarchy management issues and techniques
  • Identity management issues and techniques
  • The human and organizational aspects of MDM
  • MDM considerations for global and multi-national businesses
  • Relationships of MDM with BI and data warehousing
  • The role of data governance in MDM

Who should Attend

• BI/DW managers, architects, designers, and developers
• Data quality and data governance professionals
• Information systems analysts, designers, and developers
• Data stewards, data architects, and data administrators
• MDM program managers