Decision Making Attributes

Accuracy – the data should be valid and correctly represented in the underlying schema. It should reflect real life activities of the business.

Completeness – the data warehouse should have data model whose scope includes even the most minute and seemingly trivial detail about the company.

Flexibility – data warehouse should be able to manage all sorts of data from heterogeneous sources and satisfy a wide array of requirements from end users as well as from data sources.

Timeliness – data should be submitted on a schedules time bases so the company can get the latest updates on trends and patterns in the industry.

First Page: What is Central Data Warehouse