TDWI Data Quality, Data Governance & Master Data Management Fundamentals Brisbane Australia 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
Past Events
TDWI Data Quality, Data Governance & Master Data Management Fundamentals Brisbane Australia 2014 - 11-13 Jun 2014, Flipside Training Centre Brisbane, Australia (43894)
Important
Please, check "TDWI Data Quality, Data Governance & Master Data Management Fundamentals Brisbane Australia" official website for possible changes, before making any traveling arrangements
Event Categories
Technology: Data management, Information Technology (IT)