The Use of Soft Systems Methodology for the Development of Data Warehouses
November 8, 2012
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When making strategic business decisions, managers in large corporations rely on data that is integrated from different sources in their corporation into data warehouse systems. The development of data warehouses entails the integration of data from sources with often conflicting technical infrastructure combined with a clear understanding of the vision of the corporation. The work of practitioners Inmon and Kimball are frequently used as development methodologies. Yet many data warehouse developers do not understand the business objectives. The soft systems methodology provides a set of methods, originating from experience in management situations, for purposeful activity in an organisation. This paper demonstrates how the current data warehousing methodology of Kimball can be enriched by incorporating ideas from Checkland’s soft systems methodology.
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