CARACTERÍSTICAS DAS ANÁLISES DE DADOS

This literature review aims to address topics related to the characteristics of data analysis. The objective of this work is to demonstrate the importance of the data process in companies, detail the four types of data analysis, explore the methods that can be utilized, and highlight the challenges encountered during data collection. To conduct this research, a bibliographic review was carried out using academic articles, websites, and books. Through this study, it became evident how these tools are highly valuable for companies in an increasingly digitized world. It is understood that, despite the obstacles encountered during data collection, these tools remain a powerful resource.

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Publication Details

Journal
RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218
Published
2024-11-26
DOI
https://doi.org/10.47820/3m6w1a74
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
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article

CARACTERÍSTICAS DAS ANÁLISES DE DADOS

Fabiana Florian, Renata Mirella Farina, Filipe José Rodrigues
RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218
Advanced Database Systems and Queries
article

CARACTERÍSTICAS DAS ANÁLISES DE DADOS

Fabiana Florian, Renata Mirella Farina, Filipe José Rodrigues
article en

Abstract

This literature review aims to address topics related to the characteristics of data analysis. The objective of this work is to demonstrate the importance of the data process in companies, detail the four types of data analysis, explore the methods that can be utilized, and highlight the challenges encountered during data collection. To conduct this research, a bibliographic review was carried out using academic articles, websites, and books. Through this study, it became evident how these tools are highly valuable for companies in an increasingly digitized world. It is understood that, despite the obstacles encountered during data collection, these tools remain a powerful resource.

RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218Vol. 5(1)
Centro Universitário de Araraquara (BR)
Openalex Percentile: Top 76%
Advanced Database Systems and Queries
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