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Data Warehousing Failures: Case Studies and Findings

ScholarWorks - MoreheadState (Morehead State University)Published 1 January 1999Open access
M. Dean Fenton, Mary Haywood, Joseph G. Gerard, Lucas Gonzalez, Hugh J. Watson
Citations42
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TL;DR

The number of tables and joins, and subsequent catalog growth, prevented Auto Guys from using data as it was intended in a concise and coherent business format.

Abstract

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. Read the cases and prepare a one or two page discussion of the following: 1. What’s the scope of what can be considered a data warehousing failure? Discuss. 2. What generalizations apply across the cases? 3. What do you find most interesting in the failure stories? 4. Do they provide any insights about how a failure might be avoided?

Keywords

Decision Sciences