Desde TDWI

Data Management Experience

S2 Best Practices in Enterprise Information Management

Stephen Brobst

The effective management of enterprise information requires best practices in the areas of people, processes, and technology. In this talk we will share both successful and unsuccessful practices in these areas. A framework for enterprise information management (EIM) will be presented along with recommended steps for successful realization of the vision. A phased approach is suggested and the role of good governance, as well as appropriate technology choices and architecture, will be discussed. A reference architecture for deployment will be recommended with a detailed description of required services and the interoperability requirements for realization of the architecture.

You Will Learn

• The role of data modeling and the important distinctions between logical, physical, and semantic data models
• The role of metadata management and the categorization of different kinds of metadata
• The role of master data management along with the distinction between master data of record and master data of reference
• The role of governance along with the responsibilities from both a business and an IT perspective
• The role of data quality management and best practices in using total quality management techniques
• The role of data integration and the implications on deployment of newly emerging architectures for implementation
• The role of data security and privacy along with a description of best practices

Geared To

• Data warehouse architects; data warehouse designers; data warehouse developers; data warehouse administrators; data warehouse managers