Organization – roles, responsibilities, structure of the organization including the role of the user

Metadata – the strategy and implementation of data about data

Business value – cost justification and governance of projects

Methodology – the process by which the data warehouse is developed and maintained

Delivery and tools – the interface seen by the user

Architecture – the hardware, software and network that supports the data warehouse. Is the DW design based on a solid architecture?

Strategic direction – support of the strategic goals of the organization

Data acquisition and cleansing – the critical activity of sourcing, extracting and cleaning the data

Requirements – the process to determine just what information the users need

Data modeling – how models are developed and used for the data warehouse

Data base design – the design of the data warehouse databases being significantly different than those that are operational

Performance – response time as well as load/refresh/update performance

User satisfaction – usability of data, flexibility and responsiveness of IT to new requirements, satisfaction with the quality of the data

KPI's - their respondence to user needs, the way they are presented.