Big Data: Definition, Exploitation, and Consequences
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Big Data, data analysis, data mining, data protection, GDPR General Data Protection Regulation, data driven, data science, data volume, data velocity, data variety
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Abstract
This document discusses the concept of big data, its definition, and its implications for companies and individuals. It highlights the importance of data analysis and the emergence of new professions in the field.
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[...] In some situations, individuals may also be victims of discrimination, whether it is conscious or not. Anything that characterizes an individual: their skin color, age, or sexuality, can influence a third party in their decisions. It is in this context that data protection makes sense and individuals must be vigilant about the data they consent to share. - Digital privacy of users We have seen that respecting privacy is important for individuals in their daily lives, but what about in their digital lives? [...]
[...] Beyond this digital revolution, we are witnessing a data revolution. Technical progress in terms of storage has made it possible to accumulate increasingly important knowledge. Then, both the awareness of the importance of processing and drawing lessons from these data, as well as new skills in terms of data analysis and knowledge of information systems have appeared. All this allows certain companies to base their strategies and decision-making on objective elements rather than on a feeling. The analysis of the collected data allows trends to emerge and to go beyond the subjectivity of the managers. [...]
[...] This is a new deep transformation that is announced, equivalent to what was the industrial revolution at the beginning of the 20th century (with Taylorism and mass consumption), or the digital revolution, accompanied by the digitalization of the economy, which is barely ending now."" If it is indeed a huge challenge for companies to meet, which will have to adapt to these new tools and the transformation of uses, it is just as important a challenge for consumers. Even, for citizens in general. Because these transformations, to keep their promises, are based on the massive collection and exchange of data. It is therefore a hyperconnected and hypersurveillance future that is announced. [...]
[...] Retrieved 27 October 2019, from https://www.ledauphine.com/france-monde/2019/10/18/le-retraite-n-a-pas-internet-etles-impots-refusent-son-cheque - Le Monde (2019) « The Google ethics committee on artificial intelligence will have existed only one week. » Le Monde.fr. Retrieved 6 November 2019, from https://www.lemonde.fr/pixels/article/2019/04/05/intelligence-artificielle-googlerenonce-a-son-comite-d-ethique-une-semaine-apres-sonlancement_5446456_4408996.html - Le Parisien (2018) « Your car will soon warn emergency services all by itself. » leparisien.fr. Retrieved 6 November 2019, from http://www.leparisien.fr/societe/votre-voiture-vabientot-prevenir-les-secours-toute-seule-27-03-2018-7632537.php - Le Parisien (2019) « Facial recognition tested in high schools. » leparisien.fr. Retrieved 27 October 2019, from http://www.leparisien.fr/societe/video-dans-les-lycees-etmaintenant-place-a-la-reconnaissance-faciale-04-02-2019-8004192.php - McKinsey Global Institute (2011) « Big data: The next frontier for innovation », competition, and productivity. McKinsey & Company. [...]
[...] This involves a rigorous cyber-security policy, which can be entrusted to an internal expert for large structures, or to a service provider who will be responsible for bringing personal data into compliance, from collection to analysis, through storage. III- For businesses, how to reconcile growth and respect for privacy? [...]
