3 questions to understand the Big Data

It creates value from the data by diverting explains Gilles Babinet. Today, the data produced by a company are generally used for a single purpose. The challenge is to interpret the data for other purposes, and in all areas: supply chain, marketing or finance. Three types of limits are however to understand. "The quality of what is sought and men who seek" first, with the glass ceiling of expertise. Then, the limit can also be technological. Often "the data are not readily available, they are in silos, they are denied access or sometimes difficult to treat," said Gilles Babinet. Hence the need for openness and standardization of data. Finally, the ethical limit is important. "There are areas where we can create value, but at the expense of the common good." We must therefore wonder about the purpose of our societies and on the regulation that needs to be put in place. The sources of Big Data, Gilles Babinet evokes the concept of "information explosion" from the time of Turing, with the premises of computing. But it was really in the 90s that the term is forged with intrinsically the concept of misuse of data, that is to say, the idea that we can use the data for anything other than why she was created at the start. In 1998, the invention in the Google Page Rank by Larry Page and Sergey Brin marks the beginning of the use of unstructured data to create information to search engines.