DSS models are abstractions that operate as substitutes for actual circumstances under evaluation. A model-driven DSS emphasizes access to and manipulation of statistical, financial, optimization, or simulation archetypes. Consequently, a model-driven DSS utilizes datum and parameters provided by users to assist decision makers in analyzing a situation; however, they are not necessarily data-intensive. Compliance DSS model construction includes: making a large number of assumptions about the nature of the environment in which the entity’s programs, systems, processes, activities and/or tasks operate; the operating characteristics of components; and about the way animate and/or inanimate objects are likely to behave. Managerial application is established through knowing when the model matches the set of objectives and attributes requiring analytical consideration.
“View Part I of the Compliance through Automation: Decision Support Systems series here“