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I'm trying to have my data scientists focus on ways to spend less time cleaning data, but they always blame our business partners for poor data quality. Besides attacking data quality and blaming others, what are some good initiatives to evaluate that could empower my team to deliver faster / better insights?

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What is the single biggest challenge of your data & analytics department? How much of this do you think is attributed to beliefs and toxic headlines that are outside your actual organization?

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