Commenced in January 2007
Paper Count: 30526
A Soft Systems Methodology Perspective on Data Warehousing Education Improvement
Abstract:This paper demonstrates how the soft systems methodology can be used to improve the delivery of a module in data warehousing for fourth year information technology students. Graduates in information technology needs to have academic skills but also needs to have good practical skills to meet the skills requirements of the information technology industry. In developing and improving current data warehousing education modules one has to find a balance in meeting the expectations of various role players such as the students themselves, industry and academia. The soft systems methodology, developed by Peter Checkland, provides a methodology for facilitating problem understanding from different world views. In this paper it is demonstrated how the soft systems methodology can be used to plan the improvement of data warehousing education for fourth year information technology students.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1063362Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1267
 W.H. Inmon, Building the data warehouse. 2nd ed. New York, NY: Wiley. 1996
 R. Kimball, M. Ross, W. Thornthwaite, J. Mundy & B. Becker. The data warehouse lifecycle toolkit. Indiana: Wiley Publishing. 2008. P. 636.
 C.W Churchman. The systems approach. New York, N.Y.: Delta. 1968.
 P. Checkland & J. Poulter. Learning for action. Chichester: Wiley. 2006.
 P. Checkland. Systems thinking, systems practice. Chichester: Wiley. 1981.
 P. Checkland & J. Scholes. Soft systems methodology in action: Includes a 30-year retrospective. Chichester: Wiley. 1999.