Big Data and public finance sector

Nabil Ourdani, Mohamed Chrayah
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Abstract

The advent of new technologies and their “trivialization” of use have exploded the number of data produced. This exponential rise has enabled exploitation in decision-making through the use of new analytical methodologies applied in many different sectors. This gave birth to the concept of Big Data which has developed in an incredible way in terms of use as well as definitions and characteristics. The Big Data revolution and accompanying technologies such as artificial intelligence (AI) and machine learning (ML) have generated great interest in financial services since their inception. This has also prompted the public sector to adopt these technologies as best they can to take advantage of them. This paper present an overview of the Big Data phenomenon through a review of the literature and the evolution of its characteristics from its appearance until today in addition to emerging trends. It also deals with the use of Big Data technology in financial sector and especially in public financial sector.
大数据与公共财政
新技术的出现及其“琐碎化”的使用使产生的数据数量激增。这种指数增长通过在许多不同部门使用新的分析方法,使决策方面的开发成为可能。这就产生了大数据的概念,它在使用、定义和特征方面都以令人难以置信的方式发展。大数据革命及其伴随的技术,如人工智能(AI)和机器学习(ML),从一开始就引起了人们对金融服务的极大兴趣。这也促使公共部门尽可能地采用这些技术来利用它们。本文通过对文献的回顾,以及大数据从出现到今天的特征演变,以及新兴趋势,对大数据现象进行了概述。它还涉及大数据技术在金融部门,特别是在公共金融部门的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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