Composite indicators for business intelligence

Authors:
Daniele Barone;Lei Jiang;Daniel Amyot;John Mylopoulos
Affiliations:
Department of Computer Science, University of Toronto, Toronto, ON, Canada;Department of Computer Science, University of Toronto, Toronto, ON, Canada;EECS, University of Ottawa, Ottawa, ON, Canada;Department of Computer Science, University of Toronto, Toronto, ON, Canada
Venue:
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Year:
2011

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Abstract

Business organizations continuously monitor their environments, looking out for opportunities and threats that may help/hinter the fulfilment of their objectives. We are interested in strategic business models that support such governance activities. In this paper, we focus on the concept of composite indicator and show how it can be used as basic building block for strategic business models that support evaluation and decision-making. The main results of this paper include techniques and algorithms for deriving values for composite indicators, when the relationship between a composite indicator and its component indicators cannot be fully described using well-defined mathematical functions.