This document discusses what should be done with large amounts of data. It warns that data could be misinterpreted if not properly understood, and that perspectives and assumptions can influence data. Quality and context of data are important, as correlation does not necessarily imply causation. Overall, the document emphasizes the need to provide context and think critically about data in order to unlock its power and avoid being passive consumers or making misguided decisions based on irrelevant information.