The major decision-support systems we looked at include: management information systems, model-based decision-support systems and business intelligence (or data-based decision-support systems. MIS provides regularly scheduled hardcopy reports that can be used in structured decision-making, while model-driven or data-driven DSS supports unstructured and semi-structured decision making.
Sensitivity analysis or performing "what-if" analysis is a common technique for using model-driven DSS. Here are some examples of model-driven DSS that you may try out online:
As you try out the examples, ask yourself what types of decisions may be supported by asking "what-if" questions through these models. I've also posted a short movie of how a model-based DSS may be used on SOUL.
We also discussed the class answers for Tutorial 4: Business Intelligence with the Hong Kong Jockey Club as our case study company. Model answer will be posted on SOUL as well.
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