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Bias and Assumptions • Identify and address potential biases in data and analysis. • Challenge assumptions to ensure objective results. • Use diverse data sources to mitigate bias. • Be aware of confirmation bias and avoid it. • Continuously educate the team about bias and its impact.
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Data-Driven Decisions • Base decisions on data insights rather than intuition. • Use data to support arguments and decisions. • Continuously monitor and adjust strategies based on data. • Foster a data-driven culture within the organization. • Document decision-making processes for transparency.
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