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- Provide support for decision makers at the management levels whether individuals or groups and mainly in semi-structured or structured situations by bringing together human and computerized judgment and Information
- They support several interdependent and sequential decisions
- They support all phases of decision-making process i.e. intelligence, design choice and implementation
- They are adaptable by the user overtime to deal with changing conditions
- Easy to construct and use
- Promote learning which leads to new demands and refinement of the application which leads to additional learning
- Usually utilize models, custom or standard made to allow efficient and effective solution of very complex problems
- Allow easy execution of sensitivity analysis i.e. the “what if” analysis, “goal seeking analysis”. What if analysis attempts to check the impact of a change in the assumption i.e. input data on the proposed solution e.g. what would happen to the total inventory cost if the originally assumed cost of carrying inventories is not 10% but 12%. GOAL SEEKING analysis attempts to find the value of input necessary to achieve a desired level of inputs. It represents a backward solution approach, example if in a DSS solution, if the profit yield is million shillings what sales volume would be necessary to generate the profit of 1.5 million
Kavungya answered the question on May 10, 2019 at 10:48
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