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Dark Data: The term "Dark Data" refers to the information that is overlooked, ignored or goes uncollected in the vast ocean of data. It can also be data that is inaccessible or improperly formatted.
Data Incompleteness: Not all data is captured in every situation, and this missing information often plays a crucial role in decision-making processes.
Selection Bias: The data we collect is often skewed due to selection bias, which can lead to false inferences or misleading conclusions.
Unintended Consequences: Ignoring or misinterpreting dark data can lead to unintended consequences, such as flawed business strategies or inaccurate...
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