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2 cards from this section. Quick, good the night before a test.
What does transparency in data decision-making mean?
Think about how you would describe your methods to someone unfamiliar.
Can you give one example of bias in data?
Consider how different user experiences could be affected.
What is a key reason for ensuring ethical practices in data analytics?
Consider the consequences of using biased data.
Is strategic alignment necessary for data analytics success?
Think about outcomes when strategies misalign.
Discuss how a failure to address ethical considerations could impact a company’s brand.
Consider high-profile cases of data misuse.
Propose a strategy for integrating ethical considerations into all levels of an organization.
Think about practical steps after identifying ethical gaps.
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