The Data Warehouse Process

The james martin + co Data Warehouse Process does not encompass the analysis and identification of organizational value streams, strategic initiatives, and related business goals, but it is a prescription for achieving such goals through a specific architecture.

The Process is conducted in an iterative fashion after the initial business requirements and architectural foundations have been developed with the emphasis on populating the Data Warehouse with "chunks" of functional subject-area information each iteration. The Process guides the development team through identifying the business requirements, developing the business plan and Warehouse solution to business requirements, and implementing the configuration, technical, and application architecture for the overall Data Warehouse. It then specifies the iterative activities for the cyclical planning, design, construction, and deployment of each population project.

The following is a description of each stage in the Data Warehouse Process. (Note: The Data Warehouse Process also includes conventional project management, startup, and wrap-up activities which are detailed in the Plan, Activate, Control and End stages, not described here.)