Data Science in Perspective

TL;DR

This paper explores Data Science as a multidisciplinary field integrating science, statistics, computer science, and business, emphasizing its role in generating value and supporting decision-making across scientific and business domains.

Contribution

It provides a comprehensive perspective on Data Science's formal structure, multidisciplinary nature, and its application in scientific and business projects, including education and professional profiles.

Findings

Data Science combines statistics, computer science, and business science.

It supports decision-making through data-driven methods.

Data Science's role is expanding in both scientific and commercial contexts.

Abstract

Data and Science has stood out in the generation of results, whether in the projects of the scientific domain or business domain. CERN Project, Scientific Institutes, companies like Walmart, Google, Apple, among others, need data to present their results and make predictions in the competitive data world. Data and Science are words that together culminated in a globally recognized term called Data Science. Data Science is in its initial phase, possibly being part of formal sciences and also being presented as part of applied sciences, capable of generating value and supporting decision making. Data Science considers science and, consequently, the scientific method to promote decision making through data intelligence. In many cases, the application of the method (or part of it) is considered in Data Science projects in scientific domain (social sciences, bioinformatics, geospatial projects) or business domain (finance, logistic, retail), among others. In this sense, this article addresses the perspectives of Data Science as a multidisciplinary area, considering science and the scientific method, and its formal structure which integrate Statistics, Computer Science, and Business Science, also taking into account Artificial Intelligence, emphasizing Machine Learning, among others. The article also deals with the perspective of applied Data Science, since Data Science is used for generating value through scientific and business projects. Data Science persona is also discussed in the article, concerning the education of Data Science professionals and its corresponding profiles, since its projection changes the field of data in the world.