Eight studies of data warehousing failures are presented. They were written based on interviews with people who were associated with the projects. The extent of the failure varies with the organization, but in all cases, the project was at least a disappointment.

What’s the scope of what can be considered a data warehousing failure? Discuss.
What generalizations apply across the cases?
What do you find most interesting in the failure stories?
Do they provide any insights about how a failure might be avoided?