Dark data: Practical chief -breeding for decision -making in the world is unfinished

Humanity has learned to collect, process and use huge arrays of data in science, business and everyday life. But what to do with data that we do not have? Is it permissible to ignore what we do not notice?
British statistics David Hand believes that it is at least short -sighted, and sometimes extremely dangerous. In his book, he identifies 15 influencing our solutions and actions of the types of data that remain in the shadows. For example, we are talking about taking into account the disaster signals that the inhabitants of the poor areas could submit, if they had smartphones, about the results of a medical study that intentionally concealed or accidentally distorted, or about the data that became dark due to a poor set of criteria for including In the sample. Hand also talks about what measures can smooth out the effect of dark data and how they can be beneficial