Information requirements engineering for data warehouse systems

  • Authors:

  • Robert Winter;Bernhard Strauch

  • Affiliations:

  • University of St. Gallen, St. Gallen, Switzerland;LGT Financial Services, Vaduz, Principality of Liechtenstein

  • Venue:
  • Proceedings of the 2004 ACM symposium on Applied computing
  • Year:
  • 2004

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Abstract

Information requirements analysis for data warehouse systems differs significantly from requirements analysis for conventional information systems. Based on interviews with project managers and information systems managers, requirements for a methodological support of information requirements analysis for data warehouse systems are derived. Existing approaches are reviewed with regard to these requirements. Using the method engineering approach, a comprehensive methodology that supports the entire process of determining information requirements of data warehouse users, matching information requirements with actual information supply, evaluating and homogenizing resulting information requirements, establishing priorities for unsatisfied information requirements, and formally specifying the results as a basis for subsequent phases of the data warehouse development (sub)project has been proposed. The most important sources for methodology components were four in-depth case studies of information requirements analysis practices observed in data warehousing development projects of large organizations. In this paper, these case studies are presented and the resulting consolidated methodology is summarized. While an application of the proposed methodology in its entirety is still outstanding, its components have been successfully applied in actual data warehouse development projects.