What's in a Name? Exploring the Metaphysical Implications of Data Warehousing in Concept and Practice

What's in a Name? Exploring the Metaphysical Implications of Data Warehousing in Concept and Practice

Elizabeth J. Davidson (University of Hawaii-Manoa, USA)
Copyright: © 2002 |Pages: 24
DOI: 10.4018/978-1-931777-02-5.ch006
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Data warehousing is an information technology (IT) innovation based on an evocative metaphor for physical materials management. This metaphor has implications not only for the design of corporate-wide databases but also for the meaning and utility of data used in business analysis and for relationships between IS staff and end-users. While acknowledging that data warehousing offers many benefits, this paper argues that the data warehousing approach has been applied without critical reflection on the cognitive mappings implied by the underlying metaphor and that possible consequences of its use as a guide for organizing IT practices have not been fully explored. The paper examines the metaphorical implications of data warehousing in concept and presents findings of an empirical study of a data warehousing project that illustrated limitations of metaphor in practice. Drawn from these conceptual and empirical analyses, a critique of the metaphor highlights inherent limitations in the data warehousing concept for conceptualizing key aspects of the organizational data management problem. Implications for theory and practice are considered.

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Table of Contents
Shirley Becker
Chapter 1
Stephan Kudyba, Richard Hoptroff
The world of commerce has undergone a transformation since the early 1990s, which has increasingly included the utilization of information... Sample PDF
An Introduction to Information Technology and Business Intelligence
Chapter 2
Ladjel Bellatreche, Kamalakar Karlapalem, Mukesh Mohania
Information is one of the most valuable assets of an organization, and when used properly can assist intelligent decision-making that can... Sample PDF
Some Issues in Design of Data Warehousing Systems
Chapter 3
Balaji Rajagopalan, Ravi Krovi
Data mining is the process of sifting through the mass of organizational (internal and external) data to identify patterns critical for decision... Sample PDF
Benchmarking Data Mining Algorithms
Chapter 4
Ram L. Kumar
Organizations are increasingly recognizing the importance of information technology. Many large IT projects in the area of data warehousing and data... Sample PDF
Justifying Data Warehousing Investments
Chapter 5
Sufi M. Nazem, Bongsik Shin
During the early years of database management the contemporary wisdom was to store only ‘useful data.’ In large part, this philosophy was encouraged... Sample PDF
Data Mining: A New Arsenal for Strategic Decision-making
Chapter 6
Elizabeth J. Davidson
Data warehousing is an information technology (IT) innovation based on an evocative metaphor for physical materials management. This metaphor has... Sample PDF
What's in a Name? Exploring the Metaphysical Implications of Data Warehousing in Concept and Practice
Chapter 7
Amita Goyal Chin
In a distributed database system, an increase in workload typically necessitates the installation of additional database servers followed by the... Sample PDF
Incremental Data Allocation and Reallocation in Distributed Database Systems
Chapter 8
Youssef Amghar, Madjid Meziane, Andre Flory
Modeling behavior is an important task of the information system engineering process. This task is especially important when information systems are... Sample PDF
Using Business Rules within a Design Process of Active Databases
Chapter 9
Jose Maria Cavero, Esperanza Marcos, Mario Piattini, Adolfo Sanchez
Data warehousing and online analytical processing (OLAP) technologies have become growing interest areas in latest years. Specific issues, such as... Sample PDF
A Methodology for Datawarehouse Design: Conceptual Modeling
Chapter 10
Herna L. Viktor, Niek F. du Plooy
Data quality has a substantial impact on the quality of the results of a Knowledge Discovery from Data (KDD) effort. The poor quality of real-world... Sample PDF
Assessing and Improving the Quality of Knowledge Discovery Data
Chapter 11
Witold Abramowicz, Pawel Jan Kalczynski, Krzysztof Wecel
The data warehouse is considered to be the best way to organize transactional data. However, as many researches claim data warehouse should be... Sample PDF
Complementing the Data Warehouse with Information Filtered from the Web
Chapter 12
Reinhard Jung, Robert Winter
Project justification is regarded as one of the major methodological deficits in Data Warehousing practice. As reasons for applying inappropriate... Sample PDF
Justification of Data Warehousing Projects
Chapter 13
Karine Zeitouni
This chapter reviews the data mining methods that are combined with Geographic Information Systems (GIS) for carrying out spatial analysis of... Sample PDF
A Survey of Spatial Data Mining Methods Databases and Statistics Point of Views
Chapter 14
Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem
In an Object Relational Data Warehousing (ORDW) environment, the semantics of data and queries can be explicitly captured, represented, and utilized... Sample PDF
Efficient Query Processing with Structural Join Indexing in an Object Relational Data Warehousing Environment
Chapter 15
Anne Banks Pidduck, Quang Ngoc Tran
The accessibility of the Internet and the World Wide Web has provided an excellent means for presenting, disseminating and distributing information.... Sample PDF
An Electronic Commerce Framework for Small and Medium Enterprises
Chapter 16
Jorg Schellhase, Udo Winand
For the realization and maintenance of high quality and complex Web-based applications, there is a need to use sound Web-engineering principles.... Sample PDF
The VLEG Based Production and Maintenance Process for Web-based Learning Applications
Chapter 17
Martin Gaedke, Klaus Turowski
Developing application systems that use the World Wide Web (WWW, Web) as an application platform suffers from the absence of disciplined approaches... Sample PDF
Specification of Components Based on the WebComposition Component Model
Chapter 18
Wilfred Ng, Mark Levene
Data warehousing is a corporate strategy that needs to integrate information from several sources of separately developed Database Management... Sample PDF
The Development of Ordered SQL Packages to Support Data Warehousing
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