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
TDWI Data Quality, Data Governance & Master Data Management Fundamentals 2014 is intended for:
- 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
