|What are the major risk factors in a data warehouse project implementation? Do you have any case studies for these risk factors?|
Sid Adelman’s Answer: Major risk factors:
Les Barbusinski’s Answer: Most of the fatal risks for a data warehouse project are organizational rather than technical (i.e., building a data warehouse that doesn’t address a relevant business need, for example).That said, Chapter 4 of Data Warehouse Project Management (by Sid Adelman and Larissa Moss) provides a pretty succinct list of the major risks that can confront a DW project.
Chuck Kelley’s Answer: Risks factors include, but not limited to a) not having a corporate sponsor high enough up the corporate ladder, b) project management that has never built a data warehouse and insists that it is done like a transaction system, c) in-fighting within your team, d) designing the database to be transaction- oriented vs. aggregation-oriented, and e) not having your user community involved in the requirements and development process.
Joe Oates’ Answer: There are many risk factors for data warehouse implementation. I do not have any case studies to cite but have been involved in more than 30 data warehouse implementation projects and can only cite experience. I will cover the risks that I have seen to be the most important. By the way, they have nothing to do with tools. Here is my list of most important risk factors:
There are many other risks, but these are the ones that I have seen, either singly or in combination, hurt data warehouse projects the most.
Clay Rehm’s Answer: There are more major risk factors than this column has space for! A good place for these is in the book by Sid Adelman and Larissa Moss called Data Warehouse Project Management. Some of the risk factors that come to mind are unsupportive/absent sponsors, a project with a "if we build it they will come" mentality, a technical environment already established waiting for a project.
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