Exploring the Structural Dimension of Data Warehouse Organizations: Results of a Survey and Implications

Practitioners and researchers in the domain of data warehousing are primarily focussing on technical aspects of data warehouse systems. Organizational issues are often neglected although several studies about critical success factors of data warehouse projects emphasize their importance. Thus, the aim of this paper is to provide deeper insights in organizational issues of data warehousing. The paper focuses on structural aspects of data warehouse organizations by presenting results of an exploratory survey conducted in 2003. The study shows a trend towards organizational challenges, problems in the structural dimension of data warehouse organizations and what kind of documentation about data warehouse departments exists. The findings of the study are discussed and implications for research and practice are highlighted.

[1]  Robert Winter,et al.  Organization of Data Warehousing in Large Service Companies - A Matrix Approach Based on Data Ownership and Competence Centers , 2001 .

[2]  Michael Rosemann Preparation of Process Modeling , 2003 .

[3]  Larry P. English Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits , 1999 .

[4]  Die Organisation als Gegenstand von Veranderungsprozessen , 2000 .

[5]  Stephen R. Gardner Building the data warehouse , 1998, CACM.

[6]  Enid Mumford,et al.  Reengineering the Corporation: A Manifesto for Business Revolution , 1995 .

[7]  Sid Adelman,et al.  Data Warehouse Project Management , 2000 .

[8]  Barry Devlin,et al.  Data Warehouse: From Architecture to Implementation , 1996 .

[9]  Michael L. Gibson,et al.  Identification of Factors Affecting the Implementation of Data Warehousing , 1999, HICSS.

[10]  Barbara Wixom,et al.  An Empirical Investigation of the Factors Affecting Data Warehousing Success , 2001, MIS Q..

[11]  David Sammon,et al.  Foundations of an Organisational Prerequisites Model for Data Warehousing , 1999, European Conference on Information Systems.

[12]  W. H. Inmon,et al.  Building the data warehouse , 1992 .

[13]  Matthias Jarke,et al.  Data warehouse process management , 2001, Inf. Syst..

[14]  David Mellor,et al.  Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse Integration , 2001 .

[15]  Ralph Kimball,et al.  The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses , 1996 .

[16]  L. Bolman,et al.  Reframing Organizations: Artistry, Choice, and Leadership. Jossey-Bass Management Series, Social and Behavioral Science Series, and Higher and Adult Education Series. , 1991 .

[17]  Robert Winter,et al.  A method for demand-driven information requirements analysis in data warehousing projects , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[18]  Alan R. Simon 90 days to the data mart , 1998 .

[19]  Herbert A. Simon,et al.  The new science of management decision , 1960 .

[20]  Efraim Turban,et al.  Decision support systems and intelligent systems , 1997 .

[21]  Peter Gyngell,et al.  Process Innovation: Reengineering Work through Information Technology , 1994 .

[22]  August-Wilhelm Scheer,et al.  ARIS Architecture and Reference Models for Business Process Management , 2000, Business Process Management.

[23]  Peter A. O'Donnell,et al.  Data warehousing development methodologies: A comparative analysis , 2002 .

[24]  Hubert Österle,et al.  Business in the Information Age: Heading for New Processes , 1995 .

[25]  Paul T. Murphy,et al.  An Architecture for a Business and Information System , 1988, IBM Syst. J..

[26]  Thomas H. Davenport,et al.  Process Innovation: Reengineering Work Through Information Technology , 1992 .

[27]  David C. Yen,et al.  Critical factors influencing the adoption of data warehouse technology: a study of the banking industry in Taiwan , 2004, Decis. Support Syst..