A LINGUAGEM R COMO FERRAMENTA PARA A TOMADA DE DECISÃO CORPORATIVA

Data analytics, applied to the corporate environment, enables the collection, processing and interpretation of data to find patterns, anomalies, trends and correlations in large data sets to predict results. Through a variety of techniques, you can use this information to increase income, cut costs, improve customer relationships and reduce risks. Therefore, the great advantage of this process is that it facilitates decision-making, making decisions more precise by identifying trends and risks more clearly. In this context, the objective of this article is to investigate how the R programming language can be more effective in data analysis than previous languages ​​and how it contributes to more accurate decision-making by businesspeople. It was concluded that the R language can improve decision-making in various segments of the company, such as recruitment, retention, production decisions, performance evaluation and market trends.

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Publication Details

Journal
Revista Interface Tecnológica
Published
2025-09-17
DOI
https://doi.org/10.31510/infa.v21i2.2126
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

A LINGUAGEM R COMO FERRAMENTA PARA A TOMADA DE DECISÃO CORPORATIVA

Guilherme Augusto Malagolli, Giuseppe Spinelli
Revista Interface Tecnológica
Data Mining Algorithms and Applications
article

A LINGUAGEM R COMO FERRAMENTA PARA A TOMADA DE DECISÃO CORPORATIVA

Guilherme Augusto Malagolli, Giuseppe Spinelli
article en

Abstract

Data analytics, applied to the corporate environment, enables the collection, processing and interpretation of data to find patterns, anomalies, trends and correlations in large data sets to predict results. Through a variety of techniques, you can use this information to increase income, cut costs, improve customer relationships and reduce risks. Therefore, the great advantage of this process is that it facilitates decision-making, making decisions more precise by identifying trends and risks more clearly. In this context, the objective of this article is to investigate how the R programming language can be more effective in data analysis than previous languages ​​and how it contributes to more accurate decision-making by businesspeople. It was concluded that the R language can improve decision-making in various segments of the company, such as recruitment, retention, production decisions, performance evaluation and market trends.

Revista Interface TecnológicaVol. 21(2)
Openalex Percentile: Top 63%
Data Mining Algorithms and Applications
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