While examining data quality in a DW/BI solution, one must consider various dimensions such as:

• Accessibility: Can the data be retrieved easily?
• Accuracy: Is the data correct?
• Amount of Information: Is more data present than necessary (e.g. Duplicates)? Is less data present than required?
• Completeness: Are all portions of the data available?
• Consistency: Is the data represented uniformly if it is available in multiple places?
• Timeliness: Is the data available when required?

Professor Richard Wang of MIT has also defined additional dimensions like objectivity, believability, reputation, relevancy, value added, interpretability, ease of understanding, concise representation, and security. Over the last 10 years, the Information Quality team at MIT have released a variety of books on the topic.