Data Governance and Master Data Management 2010

This three-day seminar is intended for Compliance Managers, Data Architects, Database Administrators, Data Integration Developers and Master Data Management Professionals, who are responsible for Management of Enterprise Data. The seminar takes an in-depth look at the Business problems caused by poorly managed data, and defines the requirements that need to be met for a company to confidently define, manage and share master, transactional, analytic and unstructured data across operational and analytic applications and processes.
In order to achieving Enterprise Data Management a company needs to invest in a suite of technologies that support end-to-end Data Management activities. These include:

• Enterprise Metadata Management
• Data Modelling
• Data Profiling
• Data Cleaning
• Data Integration (Batch, on-demand and Event-Driven)
• Data Synchronisation
• Master Data Management
• Enterprise Content Management

During the two days we take an in-depth look at the technologies needed in each of these areas as well as Best Practice approaches and methodologies to Data Integration and Master Data Management.

What you will learn

• How to set up an Enterprise Data Management program
• What technologies they need for Enterprise Data Management, Data Integration and Master Data Management (MDM)
• When to use certain technologies over others
• Methodologies for Metadata Management, Data Governance
• Designing and implementing Data Integration and MDM solutions

Main Topics

• An Introduction to Enterprise Data Management
• Enterprise Metadata Management
• Enterprise Data Quality
• Enterprise Data Integration
• An Introduction to Master Data Management
• Designing a MDM System
• MDM - The Build Option
• MDM - The Buy Option
• Transitioning to Enterprise MDM The Change Management Process
• Integrating MDM into the Enterprise