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Data can be used to back up decisions in these models by providing quantifiable evidence to support the decision-making process. For instance, if cost is a significant factor, data can be used to demonstrate the financial implications of different decisions. Similarly, if service quality is a priority, data can be used to measure and compare the level of service provided by different options. This allows for a more objective and informed decision-making process.
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For example, if cost isn't as important as service or vice versa, each can be weighted lower or higher as needed. If the cost scores high on a decision but the rest of the criteria is weighted lower, it will bring the entire score down, which could lead to a different decision depending on what's most important.
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How do you better organize your priorities to make stronger decisions backed up by data? With this collection of decision-making frameworks, you’ll le...
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