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With many eyeballs on the code, all bugs are shallow. Colleagues can help you find bugs and improve the quality of your source code.
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Find out if what you are planning to do has already been done (in full or in part) by someone else.
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Map the domain that your product will be part of, so you know the key concepts and the relations between them.
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Find something interesting in the data, check understanding of the domain or problem space, generate new questions based on the data.
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Find out if what you are planning to do has already been done (in full or in part) by someone else.
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Ensure that the data you are using is of sufficient quality to base further conclusions on.
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Verify the correctness and usefulness of the results of your model with the stakeholders or compare different models with respect to their usefulness.
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Ensure that your model produces results of sufficient quality to base your conclusions on.
Why?
Find out if what you are planning to do has already been done (in full or in part) by someone else.
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Find a niche or unique selling point competitors are not filling.
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With many eyeballs on the code, all bugs are shallow. Colleagues can help you find bugs and improve the quality of your source code.
Why?
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With many eyeballs on the code, all bugs are shallow. Colleagues can help you find bugs and improve the quality of your source code.
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Maximize the outcome of your efforts or investment.
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With many eyeballs on the code, all bugs are shallow. Colleagues can help you find bugs and improve the quality of your source code.
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Understand why a problem occurs and prevent it from happening again.
