TDWI Denver Seminar 2011: Data Asset Management 2026 2027 (17775)

The TDWI Denver Seminar: Data Asset Management covers topics such as:

Where and how requirements fit into the BI lifecycle
The distinction between business, functional, and technical requirements
How to apply the techniques for BI requirements
Ten techniques for requirements gathering and when to use each
How to ensure completeness using a checklist of 40 kinds of requirements
Why requirements management is essential and how it is performed
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
Differences in modeling techniques for business transactions, business events, and business metrics
The role of business requirements in BI data modeling
Use of relational modeling techniques for data warehouse analysis and design
The role of source data analysis in data modeling
Implications of unstructured data
Use of dimensional modeling techniques for data warehouse analysis and design
The roles of identity and hierarchy management in data warehouse design
The roles of normalization and abstraction in data warehouse design
Implementation and optimization considerations for warehousing data stores
How time-variant data is represented in data models

The TDWI Denver Seminar: Data Asset Management brings together:

TDWI Denver Seminar 2011: Data Asset Management