Open AccessNuevas tendencias para la optimización de los procesos de Inteligencia de Negocios
Author(s) -
Rosa Mirelly García Jara,
Katty Susana Gutiérrez Villanueva,
Katherin Vanessa Rodríguez Zevallos,
Frank Edmundo Escobedo Bailón
Publication year - 2021
Publication title -
investigación universitaria
Language(s) - English
Resource type - Journals
eISSN - 2664-8423
pISSN - 1992-5166
DOI - 10.53470/riu.v11i1.15
Subject(s) - business intelligence , computer science , business process reengineering , process (computing) , software deployment , assertion , data warehouse , business process , automation , online analytical processing , data science , process management , architecture , knowledge management , software engineering , work in process , data mining , business , marketing , engineering , mechanical engineering , art , lean manufacturing , visual arts , programming language , operating system
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.