A Successful Enterprise Data Warehouse? The Four Biggest Reasons for Failure

Many large organizations are preparing or executing projects with the aim to improve business intelligence (BI) delivery by implementing a data warehouse on an enterprise scale. However, in practice, it proves to be very difficult to bring such ambitious projects to a successful implementation. In my opinion, there are four main reasons for this lack of success (or at least the problems that are encountered):

Money (and thus, governance)
Design,
Heritage, and
Data.