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NATIONAL INSTITUTE OF TECHNOLOGY, DURGAPUR DEPARTMENT OF CIVIL ENGINEERINGINTERNATIONAL CONFERENCE INDECISION SUPPORT SYSTEM FOR EARLY WARNING AND MITIGATION OF DISASTER (SKEWED) BID REFERENCE: NITA/CE/INTO
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Start by collecting relevant data and information that will be used in the decision-making process.
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Identify the specific problem or decision that the decision support system will assist with.
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Determine the criteria and factors that should be considered in the decision-making process.
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Choose a suitable decision support system tool or software that aligns with the needs of the decision-making process.
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Input the collected data into the decision support system tool and organize it in a structured format.
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Analyze the data using the decision support system to generate insights and recommendations.
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Review the generated insights and recommendations and validate them based on the established criteria and factors.
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Make a decision based on the insights and recommendations provided by the decision support system.
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Monitor the effectiveness and impact of the decision made with the support of the decision support system.
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Continuously update and refine the decision support system based on feedback and new data to improve its accuracy and effectiveness.

Who needs decision support system for?

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Businesses and organizations that regularly face complex decision-making processes.
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Researchers and analysts who need to analyze large amounts of data to identify patterns and make informed decisions.
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Government agencies and policy-makers who rely on data-driven insights to make important policy decisions.
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Individuals who want to make well-informed decisions in their personal lives, such as financial investments or career choices.
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Decision support system is used to help users make business decisions by analyzing data and providing insights.
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Decision support system can be filled out by inputting relevant data and running analyses to generate insights.
The purpose of decision support system is to assist in making better informed decisions by providing data-driven insights.
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