2002
DOI: 10.1007/3-540-46146-9_21
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A Comparison of Data Warehouse Development Methodologies Case Study of the Process Warehouse

Abstract: Abstract. Building a data warehouse is a very challenging issue because compared to software engineering it is quite a young discipline and does not yet offer well-established strategies and techniques for the development process. Current data warehouse development methods can fall within three basic groups: data-driven, goal-driven and user-driven. All three development approaches have been applied to the Process Warehouse that is used as the foundation of a process-oriented decision support system, which aim… Show more

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Cited by 45 publications
(35 citation statements)
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“…DW systems offer efficient access to integrated and historical data from heterogeneous sources to support managers in their planning and decision-making [30]. [31] also claim that data warehousing provides an infrastructure that enables businesses to extract, cleanse, and store vast amounts of data.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…DW systems offer efficient access to integrated and historical data from heterogeneous sources to support managers in their planning and decision-making [30]. [31] also claim that data warehousing provides an infrastructure that enables businesses to extract, cleanse, and store vast amounts of data.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Previous literature on DW, such as [42] and [30], claims that the DW does not create value by itself; the value comes from the use of the data in the DW. [30] claim that improved decision-making results from the better information available in the DW.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…According to [19 p. 1], businesses of all sizes and in different industries, as well as government agencies can realize significant benefits by implementing a DW. Most mediu m to large organizations, according to [24], operate DWs.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The former also called supply-driven designs the DW starting from a detailed analysis of the data sources [1,2,3,4]. The user is not much involved in this category of approaches [5]. The latter also called demand-driven, attempts to identify the information requirements from business users [6,7,8,9].…”
Section: Introductionmentioning
confidence: 99%