Decision-Making by Data, An Application of Data Science with Cognitive Ergonomics

C. Araújo, Thomas Jeferson Nogueira Santos, Henrique Matias Galvão
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引用次数: 2

Abstract

With the growth of computing and technology in general in the last few decades, there has also been an abundance of available data, information previously unimaginable, which now cause companies and organizations to encounter needs they have not previously had. Such a need comes in the face of its ability to make decisions in the increasingly shorter timeframe, the fact that it poses major challenges for data collection, transport, processing and performance. In this context, a new denomination known as Data Science, capable of handling data from several areas of knowledge, is a great capacity to display quick and objective information, which in a Business context, support decision making, a very important factor To remain competitive in today's commercial environment. This article aims to study this new denomination, Data Science, and related topics, such as Data Mining, Cognitive Ergonomics and fundamentals for decision making.
数据决策:数据科学与认知工效学的应用
在过去的几十年里,随着计算和技术的发展,也有了大量的可用数据,以前无法想象的信息,这使得公司和组织现在遇到了他们以前没有的需求。这种需求出现在其在越来越短的时间框架内做出决策的能力面前,这一事实对数据收集、传输、处理和性能构成了重大挑战。在这种情况下,一个新的名称被称为数据科学,能够处理来自多个知识领域的数据,是显示快速和客观信息的巨大能力,在商业环境中,支持决策,这是在当今商业环境中保持竞争力的一个非常重要的因素。本文旨在研究这一新的学科,数据科学,以及相关的主题,如数据挖掘,认知工效学和决策基础。
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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