A report and reflection on an application of critical systems practice to improve a business intelligence system's business requirements

Abstract

Organizations require relevant and accurate information and systems for making strategic decisions. However, in practice, these business intelligence systems have a high failure rate, in part due to an overemphasis on technical implementation, and perhaps more importantly, the inability of prospective users to visualize the needs of the future system in the requirements phase. In this paper, critical systems practice is used to guide the selection of alternative requirements collection methodologies for the requirements phase, reviewing methodologies from the interpretive, critical and postmodern paradigms for their suitability for use in the described case study. In the resulting selection of critical systems heuristics for this intervention, this paper argues that although critical systems heuristics was developed in an era when the critical paradigm emerged, it can be applied from a postmodern perspective and that it may also be useful in guiding the creative process to identify requirements that improve business decision making that is sensitive to the local environment and enhance future decision making