1.Question 1What are some strategies data professionals can use when they do not have enough data to meet a business objective? Select all that apply.1 pointConsider whether it is possible to adjust the objective. Locate another relevant dataset to work with. Use hypothetical data that aligns with their own predictions.Use smaller-scale data until they can find more complete data.
Question
1.Question 1What are some strategies data professionals can use when they do not have enough data to meet a business objective? Select all that apply.1 pointConsider whether it is possible to adjust the objective. Locate another relevant dataset to work with. Use hypothetical data that aligns with their own predictions.Use smaller-scale data until they can find more complete data.
Solution
Some strategies that data professionals can use when they do not have enough data to meet a business objective include:
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Considering whether it is possible to adjust the objective: Sometimes, the business objective may be too broad or too specific, making it difficult to gather enough data. In such cases, it may be necessary to adjust the objective to something more achievable with the available data.
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Locating another relevant dataset to work with: If the current dataset is insufficient, data professionals can look for other relevant datasets. These could be from different sources, but they should still be relevant to the business objective.
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Using hypothetical data that aligns with their own predictions: In some cases, when actual data is not available, data professionals can use hypothetical data. This data should be based on reasonable assumptions and predictions.
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Using smaller-scale data until they can find more complete data: If the available data is not sufficient, data professionals can start by working with smaller-scale data. This can provide preliminary insights and guide further data collection.
So, all the options apply.
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