Content Learning aim A: Investigate data modelling and how it can be used in the decision-making process A1 Stages in the decision-making process The concepts and challenges at each stage of the decision-making process.
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Understanding the scenario.
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Identifying information and sources:
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information required
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information that is already available
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additional information needed
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sources of additional information
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requirements for verifying the information sources.
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Factors affecting the quality of information:
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currency of data
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accuracy of data
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external factors.
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Analysing the information.
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Identifying alternatives.
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Identifying consequences of implementing the alternatives.
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Making a decision.
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Justifying the decision.
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Communicating decision(s) to others (e.g. client, supervisor, project sponsor),
as appropriate.
A2 Spreadsheet features used to support data modelling The use of spreadsheet features and functions to support data modelling.
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Entering and editing data.
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Formatting data.
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Using formulae and functions.
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Validation (and verification) of data.
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Analysing and interpreting data.
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Presenting data.
A3 Using data modelling to consider alternatives The use of data modelling to consider the benefits and limitations of
alternative solutions.
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Identifying the inputs required for the model.
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The range of outputs that can be produced.
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Benefits and limitations of alternative solutions.
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Impact/consequences of alternative solutions.
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Identifying the alternative solution(s) that produce the best decision
or compromise.