Several surveys indicate that a significant percentage of data warehouses fail to meet business objectives or are outright failures. One of the reasons for this is that requirement analysis is typically overlooked in real projects. In this paper we propose GRAnD, a goal-oriented approach to requirement analysis for data warehouses based on the Tropos methodology. Two different perspectives are integrated for requirement analysis: organizational modeling, centered on stakeholders, and decisional modeling, focused on decision makers. Our approach can be employed within both a demand-driven and a mixed supply/demand-driven design framework. © 2006 Elsevier B.V. All rights reserved.
GRAnD: A goal-oriented approach to requirement analysis in data warehouses
Giorgini, Paolo;Rizzi, Stefano;Garzetti, Maddalena
2008-01-01
Abstract
Several surveys indicate that a significant percentage of data warehouses fail to meet business objectives or are outright failures. One of the reasons for this is that requirement analysis is typically overlooked in real projects. In this paper we propose GRAnD, a goal-oriented approach to requirement analysis for data warehouses based on the Tropos methodology. Two different perspectives are integrated for requirement analysis: organizational modeling, centered on stakeholders, and decisional modeling, focused on decision makers. Our approach can be employed within both a demand-driven and a mixed supply/demand-driven design framework. © 2006 Elsevier B.V. All rights reserved.File | Dimensione | Formato | |
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