scholarly journals Aplicabilidad de inteligencia de negocio como soporte en toma de decisiones en la asociación bananera fincas de el oro

2021 ◽  
Vol 2 (4) ◽  
pp. 5593-5605
Author(s):  
Jazmín Apolo- Romero ◽  
Víctor Javier Garzón Montealegre ◽  
Jessica Quezada Campoverde ◽  
Eveligh Prado Carpio
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Positive Influence ◽  
Demand Analysis ◽  
Global Level ◽  
Technological Tools ◽  
Toma De Decisiones ◽  
Production Area ◽  
Mixed Approach ◽  
Excel Format

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.

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
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Corporate Strategy ◽  
Three Dimensional ◽  
Academic Community ◽  
Educational Institutions ◽  
Academic Management ◽  
Toma De Decisiones ◽  
Dimensional Cube ◽  
Existing Data

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.

Implementation System of Business Intelligence System In The Company

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdul Hamid Arribathi ◽  
Maimunah Maimunah ◽  
Devi Nurfitriani
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Research Library ◽  
Decision Making Process ◽  
Intelligence System ◽  
Business Intelligence Systems

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.

BUSINESS INTELLIGENCE AND POWER OF KNOWLEDGE

2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Competitive Advantage ◽  
Business Intelligence ◽  
National Economy ◽  
Business Performance ◽  
Medium Size ◽  
Business Decision ◽  
Economic Point ◽  
Insight Into

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.

A Study on the Analytics Tool Used in Decision Making at Small and Medium Enterprise

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Vivek N. Bhatt
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Small Scale ◽  
Know How ◽  
Decision Making Styles ◽  
Routine Basis ◽  
Medium Enterprise ◽  
Decision Making Processes ◽  
Medium Enterprises

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.

Radical Political Unionism as a Strategy for Revitalization in Argentina

2017 ◽  
Vol 45 (6) ◽  
pp. 97-113
Author(s):  
Lucila D’Urso ◽  
Julieta Longo
Keyword(s):  
Decision Making ◽  
Political Culture ◽  
Direct Action ◽  
The State ◽  
Social Organizations ◽  
Toma De Decisiones ◽  
Automotive Parts ◽  
The Relationship

The grassroots union experiment undertaken at the Lear automotive parts factory in Argentina can be seen as a paradigmatic struggle for an understanding of the relationship between unionism and politics. The Lear case reveals that the distinctiveness of radical political unionism lies in the democratic elements of its decision making and its appeal to direct action, its construction of alliances with other social organizations, its linkage of economic demands with broader political objectives, its identification of the management, the state, and the union bureaucracy as adversaries, and its transmission of a leftist political culture. La experiencia sindical de la fábrica de autopartes Lear en Argentina puede ser analizada como un conflicto paradigmático para comprender la relación entre sindicalismo y política. El caso de Lear revela que el carácter distintivo del sindicalismo político radical se encuentra en los mecanismos democráticos de toma de decisiones y en la apelación a medidas de acción directa, la construcción de alianzas con otras organizaciones sociales, la vinculación de las demandas económicas con objetivos políticos más amplios, la identificación de la empresa, el Estado y la burocracia sindical como adversarios y la transmisión de una cultura política de izquierda.

scholarly journals Factores que determinan la demanda y su utilidad en la toma de decisiones financieras

2017 ◽  
Vol 5 (9) ◽  
Author(s):  
K. Cortez ◽  
R. Lazo ◽  
M. Rodríguez
Keyword(s):  
Decision Making ◽  
Key Words ◽  
Demand Estimation ◽  
Practical Utility ◽  
Qualitative Variables ◽  
Toma De Decisiones ◽  
Financial Decision ◽  
Basic Concepts

Key Words: function of demand, estimation, financial decision makingAbstract. The present document has like purpose of giving an explanation of which it is a function of demand and the practical utility of the estimation when relating it to qualitative variables of estimation of sales obtained from the experience of the experts. The form in how it sets out to carry out the previous thing is to raise the basic concepts firstly associate to the theory of the demand; these subjects are the factors that determine the demand, the displacements. In addition, the importance of the estimation of sales since they will serve asdeparture point for the adapted decision making of financial character in the organizations, by such reason considers is due to have special well-taken care of in its elaboration.Palabras clave: función de demanda, pronósticos, toma de decisiones financierosResumen. El presente documento tiene como finalidad dar una explicación de lo que es una función de demanda y la utilidad práctica de su estimación al relacionarla con variables cualitativas de estimación de ventas obtenidas a partir de la experiencia de los expertos. La forma en cómo se propone llevar a cabo lo anterior es plantear primeramente los conceptos básicos asociados a la teoría de la demanda; estos temas son los factores que determinan la demanda, los desplazamientos. Además, se plantea la importancia de los pronósticos deventas ya que servirán de punto de partida para la adecuada toma de decisiones de carácter financiero en las organizaciones, por tal motivo se debe de tener especial cuidado en su elaboración.

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