Abstract

Big data represents one of the most profound and most pervasive evolutions in the digital world. Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, but also the use of social networks, industries, and so on. The sources of data are numerous and continuously increasing, and, therefore, what characterizes big data is not only the volume but also the complexity due to the heterogeneity of information that can be obtained. The fastest growth in spending on big data technologies is happening within banking, healthcare, insurance, securities and investment services, and telecommunications. Remarkably, three of those industries lie within the financial sector, which has many particularly serviceable use cases for big data analytics, such as fraud detection, risk management, and customer service optimization. In fact, the definition of big data analysis refers to the process that encompasses the gathering and analysis of big data to obtain useful information for the business. This paper focuses on delivering a short review concerning the current technologies, future perspectives, and the evaluation of some use cased associated with the analysis of big data.

Highlights

  • Over the past 20 years, new digital technologies have developed to change our way of life radically [1,2,3].Ever thinner smartphones, regularly smaller and more powerful processors, appliances that communicate with each other, social media networks that know everything about us and on which we depend, have been developed

  • Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, and the use of social networks, industries, and so on

  • The analysis models use the datalog produced by servers and network devices to evaluate performance levels, find bottlenecks, and other features ‒ Knowledge and services to customers: this category includes all the solutions and applications for big data analysis used for marketing and sales projects, for product development, and for optimizing the digital experience

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Summary

INTRODUCTION

Over the past 20 years, new digital technologies have developed to change our way of life radically [1,2,3]. By spreading a set of sensors and processors, it is possible to control the windows, the temperature of the house, the lights, and other home appliances wirelessly [30, 31] Another application case is represented by the cities, which can be developed more intelligent and efficient thanks to the interconnection of smart objects. Several studies have revealed that the use of big data represents one of the qualifying marks of the metamorphosis that is taking place in production processes [41,42,43,44] Among these studies, the most notable are those carried by McKinsey & Company [45], by Boston Consulting, and the Milan Polytechnic Observatory [46].

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