scholarly journals La inteligencia de negocios como una herramienta en la gestión académica -Business intelligence as a tool in academic management

2016 ◽  
Vol 1 (24) ◽  
pp. 110 ◽  
Author(s):  
Juan Jose Camargo-Vega ◽  
Luis Joyanes-Aguilar ◽  
Lillyana María Giraldo-Marín

En este trabajo se presenta el estudio, análisis y evaluación de las características de los datos existentes en la comunidad académica con el fin de recomendar el modelo para aplicar la inteligencia de negocios. Se parte de la suposición Que Conocer los efectos en la comunidad académica, si se tiene una estrategia corporativa, facilita la toma de decisiones en las instituciones educativas. Los resultados se basan en un cubo de tres dimensiones, que es la combinación fuerte para tomar decisiones con la información que le han proporcionado. Por último, llegamos a conclusiones diferentes que permiten dar motivos suficientes para recomendar el modelo Que Integrar la inteligencia de negocios en el entorno académico.Business intelligence as a tool in the management academicThis paper presents a study, analyze and evaluate characteristics of existing data in the academic community, in order to recommend a model to apply Business Intelligence. It starts from the assumption that knowing the effects on the academic community, if you have a corporate strategy to facilitate decision-making in educational institutions. The results are based on a three dimensional cube, which are combining strong to make decisions with the information made. Finally, we come to different conclusions enabling give sufficient grounds to recommend a model that Integrate Business Intelligence in the academic environment.Inteligência de negócios como uma ferramenta na gestão acadêmicaEste trabalho apresenta um estudo, analisar e avaliar as características dos dados existentes na comunidade acadêmica, a fim de recomendar um modelo para aplicar Business Intelligence. Parte-se do pressuposto de que o conhecimento dos efeitos sobre a comunidade acadêmica, se você tem uma estratégia corporativa para facilitar a tomada de decisão nas instituições de ensino. Os resultados baseiam-se em um cubo tridimensional, que estão combinando para fazer fortes decisões com a informação feita. Finalmente, chegamos a conclusões diferentes que permitem dar motivos suficientes para recomendar para Integrar Business Intelligence Esse modelo no ambiente acadêmico.

2020 ◽  
Vol 13 (4) ◽  
pp. 463
Author(s):  
Iara Margarida de Souza Barreto ◽  
Allan Edgard Silva Freitas

Educational indicators are instruments of significant importance for assessing the outcomes and quality of educational institutions. In order to provide information for strategic decisions, Business Intelligence systems are gaining more and more space in the Information Technology market. This article intends to identify the main educational indicators and their various approaches, in order to evaluate their contributions and/or inadequacies to the pedagogical management of the Instituto Federal da Bahia, besides addressing the Business Intelligence theme, identifying their origin, concepts and applicability. In conclusion, it was presented a proposal to develop a BI system to generate intelligence through microdata extracted from IFBA's academic and administrative systems and, finally, to produce strategic indicators to support decision making regarding students' academic life.


2013 ◽  
Vol 1 (3) ◽  
Author(s):  
Holguer Romero

A fin de descifrar la  frustración en los estudiantes universitarios en la actualidad, se investiga las razones para la deserción de su carrera, se acostumbra culpar a quienes influyeron directamente en la toma de decisiones, a los padres con sus infortunios de anhelos profesionales, a profesores con sus propios conflictos y fracasos no superados, falta de preparación,  a falta de estructuración en los planteles educativos, sin un organigrama definido donde exista una simple luz guía para su futuro incierto. No existe un andamiaje publicitario de Universidades ni carreras; el estudiante secundario se sumerge en un nuevo habitad sin las respectivas herramientas, sin el conocimiento adecuado, para desfallecer en  un contexto hostil. Existen estudiantes que terminan su carrera por fuerza de voluntad   pero   no   por   vocación;   memoristas   sin   razonamiento   que   fracasan   cuando   la sobreprotección  de  los  maestros paternalistas  se  queda  dentro  de  las  aulas  universitarias.  Los motivos para quedarse y vencer son diversos, cada estudiante tiene su contexto vivencial, desarrolla su propia personalidad, su forma de tomar los obstáculos, aprendiendo a ser feliz; el objetivo principal de este trabajo es: Definir  la condición psicológica de los estudiantes de la Universidad para desarrollar un perfil óptimo en el futuro  desempeño profesional.AbstractIn order to decipher the frustration on college students today, we investigate the reasons for thedesertion of his career, it is customary to blame those who directly influenced the decision making parents with their professional aspirations woes, teachers with their own conflicts and unsurpassed failures, lack of preparation, lack of structuring in educational institutions without a defined organization where there is a single guiding light for their uncertain future. There is no advertising scaffolding Universities and careers, the high school student is immersed in a new habitat without the necessary tools, without the proper knowledge to falter in such a hostile environment. There are students completing their willpower race but not by vocation but reasoning memoirists fail when teachers paternalistic overprotection stays within university classrooms. The reasons to stay and overcome are different, each student has their experiential context, develops its own personality, his way of taking the obstacles, learning to be happy, the main objective of this work is: Define the psychological condition of students University to develop an optimal profile in the future professional.


2021 ◽  
Vol 2 (4) ◽  
pp. 5593-5605
Author(s):  
Jazmín Apolo- Romero ◽  
Víctor Javier Garzón Montealegre ◽  
Jessica Quezada Campoverde ◽  
Eveligh Prado Carpio

En el presente artículo, el objetivo de esta investigación es indagar la influencia de la inteligencia de negocio para la toma de decisiones en los asociados de la empresa Bananera Fincas de El Oro. Uno de los activos más importantes de la empresa es el manejo de información, esto ha llevado a la proliferación y utilización de software y almacenes de datos. Por esta razón, la Inteligencia de negocio puede generar inteligencia de sus datos, mediante la captura, extracción, filtrado y modelado de la información. Las herramientas tecnológicas para el desarrollo de la inteligencia de negocios han evolucionado satisfactoriamente en los mercados empresariales, empresas agropecuarias a nivel global. En la investigación se aplicó un diseño no experimental y de enfoque mixto. Los cuestionarios aplicados fueron sometidos a un control de calidad, para proceder a codificar y transcribir los datos en formato Excel, donde se utilizó métodos estadísticos para verificar los resultados, mismo fueron exportados y procesados a través del programa SPSS v. 24 aplicando un análisis estadístico inferencial el cual arrojó como resultado que existe una influencia positiva fuerte con un 92.3% entre la variable inteligencia de negocio y la variable toma de decisiones. Por este motivo es oportuno implementar un Software de inteligencia de negocio en el área de producción de la empresa como instrumento para el análisis de grandes volúmenes de datos. En este sentido el estudio desarrollado en inteligencia de negocio para la toma de decisiones responde a la necesidad planteada desde el análisis de la demanda.   In this article, the objective of this research is to investigate the influence of business intelligence for decision making in the associates of the company Bananera Fincas de El Oro. One of the most important assets of the company is the management of information, this has led to the proliferation and use of software and data warehouses. For this reason, business intelligence can generate intelligence from its data, by capturing, extracting, filtering and modeling information. Technological tools for the development of business intelligence have evolved satisfactorily in business markets, agricultural companies at a global level. A non-experimental design with a mixed approach was applied in the research. The questionnaires applied were subjected to a quality control, to proceed to code and transcribe the data in Excel format, where statistical methods were used to verify the results, which were exported and processed through the SPSS v. 24 program applying an inferential statistical analysis which showed as a result that there is a strong positive influence with 92.3% between the variable Business Intelligence and the variable Decision Making. For this reason it is appropriate to implement a business intelligence software in the production area of the company as an instrument for the analysis of large volumes of data. In this sense, the study developed in business intelligence for decision making responds to the need raised from the demand analysis.


2019 ◽  
Vol 6 (2) ◽  
pp. 37-48
Author(s):  
A. Gómez Andrade ◽  
E. Michel Valdivia ◽  
P. del R. Retamoza Vega ◽  
M.E. Romero Gastelú

El objetivo del presente artículo es proponer la implementación de un Comité de Pares Académicos al interior de las instituciones educativas como una herramienta de colaboración institucional en procesos de fortalecimiento académico. Esta propuesta se basa en la experiencia de la formación de un comité de pares establecido en la Universidad de Guadalajara desde hace 10 años. Este comité entre otras funciones, tiene una principal que es la de apoyar a los programas educativos a prepararse para someterse a los procesos de acreditación de los diferentes organismos de COPAES, entre ellos el Consejo Nacional de Acreditación en Informática y Computación A.C (CONAIC). La fortaleza de este Comité radica en que estáintegrado por los evaluadores expertos certificados por COPAES y CIIES. Estos pares colaboran compartiendo sus conocimientos y experiencias, apoyando a los programas educativos que no han sido acreditados previamente o bien, cuyos responsables aún no cuentan con la experiencia necesaria para realizar una adecuada autoevaluación. El Comité cuenta con una plataforma en línea que funciona como un repositorio de evidencias de los procesos de acreditación y que proporciona información valiosa en la toma de decisiones de la institución educativa. The objective of this article is to propose the implementation of an Academic Peer Committee within educational institutions as a tool for institutional collaboration in academic strengthening processes. This proposal is based on the experience of forming a peer committee established at the University of Guadalajara 10 years ago. This committee, among other functions, has one that is to support educational programs to prepare to undergo the accreditation processes of the different COPAES organizations, including the National Council of Accreditation in Computing Science and Computing A.C (CONAIC). The strength of this Committee is that it is formed by certified expert evaluators by COPAES and CIIES. These members of the committee collaborate by sharing their knowledge and experiences, supporting educational programs that have not been previously accredited or whose leaders still do not have the necessary experience to carry out an adequate selfassessment. The Committee has an online platform that works as a repository of evidence of accreditation processes and that provides valuable information in the decision making of the educational institution.


2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdul Hamid Arribathi ◽  
Maimunah Maimunah ◽  
Devi Nurfitriani

This study aims to determine the stages that must be implemented in building a Business Intelligence System structured and appropriate in building Business Intelligence Systems in an organization, and understand the important aspects that must be considered for investment development Business Intelligence System is increasing. Business must be based on the conditions and needs of the organization in achieving the desired goals. If these conditions occur, then the decision-making process will be better and more accurate. The purpose of this study is to determine the important aspects that must be understood and prepared in using the Business Intelligence System in an organization. The method used is the explanation as well as the research library of several books, articles and other literature.


2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.


Author(s):  
Vivek N. Bhatt

The article focuses on the study of prevailing decision making styles of Small Scale Industrial (SSI) Units. It presents data collected from 200 SSI units from Bhavnagar – a coastal city of Gujarat, India. The objective of writing the article is to depict heuristic decision patterns of small and medium enterprises, and the rare use of analytical or statistical business intelligence tools in decision making processes. It would be interesting to study the design of decision taken on routine basis in small units, poorly equipped with technology and technical know-how. The paper is descriptive in terms, and lays a lucid picture of present decision making processes.


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