Abstract
Business Intelligence is becoming more and more relevant in companies, this is due to the fact that decision makers rely on it to perform the work itself. Based on this assertion, it is necessary to facilitate the BI process, reducing response times and increasing effectiveness and efficiency. This article shows different ways to perform Business Intelligence, from the origin, i.e. the extraction of data, to the last link of the process related to decision making. To this extent, new alternatives are presented that with the necessary study have shown that they go beyond what we now know as BI, allowing not only to make decisions but also to propose that these have an automated support, also allowing the data to be processed practically alone and to handle more real reports based on data from various sources. The objective of the study is to analyze the new trends for the development of processes related to business intelligence, for which a meticulous bibliographic review has been carried out by consulting scientific articles, books and scientific conferences. First, the description of terms and the staging of the information collected through the research, dedicated to the various innovative trends for the deployment of Business Intelligence, showing new definitions, architectures and trends that are currently being carried out, have been developed. Finally, SOA architecture proposals, open data acquisition, process automation and data warehouse reengineering would allow the optimization of business intelligence through their alternatives.
Highlights
Business Intelligence is becoming more and more relevant in companies, this is due to the fact that decision makers rely on it to perform the work itself
This article shows different ways to perform Business Intelligence, from the origin, i.e. the extraction of data, to the last link of the process related to decision making
New alternatives are presented that with the necessary study have shown that they go beyond what we know as BI, allowing to make decisions and to propose that these have an automated support, allowing the data to be processed practically alone and to handle more real reports based on data from various sources
Summary
Rosa Mirelly García Jara, Katty Susana Gutiérrez Villanueva, Katherin Vanessa Rodríguez Zevallos, y Frank Edmundo Escobedo Bailón. En este artículo se muestran diversas maneras de realizar Inteligencia de Negocios, desde el origen, es decir la extracción de los datos, hasta el último eslabón del proceso relacionado con la toma de decisiones. Se presenta alternativas novedosas que con el estudio necesario han demostrado que van más allá de lo que ahora conocemos como BI, permitiendo, no solo realizar la toma de decisiones sino planteando que estas tengan un apoyo automatizado, asimismo, permitir que los datos se procesen prácticamente solos y manejar reportes más reales basándonos en datos de diversas fuentes. El objetivo del estudio es analizar las nuevas tendencias para el desarrollo de los procesos relacionados a la Inteligencia de negocios, para lo cual se ha realizado una meticulosa revisión bibliográfica por medio de la consulta de artículos científicos, libros y conferencias científicas. Palabras clave: Inteligencia de Negocios, Proceso ETC, Arquitectura Orientada a Servicios, Almacén de Datos, Inteligencia Computacional
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