As a starting point and to clarify the methodology of this project we emphasize that the first person to coin the term Business Intelligence was Hans Peter Luhn, IBM researcher, who, in his article "A Business Intelligence System" published in 1958 mentions the term and provides the following definition: "is the ability to learn the relationships of facts presented in a way that guides actions towards a desired goal". And although it is quite basic compared to today, it opens the doors to a large field of research that brings us to one of the most important technologies of today. Years later topics were introduced to the world of BI, as for example the creation of the concept of database, then large databases for large companies, in the same way the concept of the Datawarehouse, time later arrived the Business Intelligence 2.0, Big data and so on to structure a robust methodology in which all companies worldwide would be immersed. On the other hand, and hand the main objective of the BI was structured. It allows companies to optimize resources, monitor the fulfillment of the company’s objectives and the ability to make good decisions to obtain better results. It represents a competitive advantage for the company, since it acts as a strategic factor in its organization and responds to the doubts that arise in a business, such as financial control, cost optimization, customer profile analysis, production planning or profitability of a product. Thus, all Business Intelligence systems have in common the following features: Accessibility to information: these tools and techniques guarantee users' access to data, regardless of where they come from. Decision Support: Users are sought to have access to analytics tools that allow them to select and use the data they are most interested in. End-User Orientation: The aim is the independence between the technical knowledge of users and their ability to use these tools.
Published in | American Journal of Computer Science and Technology (Volume 4, Issue 3) |
DOI | 10.11648/j.ajcst.20210403.12 |
Page(s) | 55-74 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Intelligence, Oracle, Warehouse, Systems, Etl, Corporate, Tools, Logic
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APA Style
Andres Felipe Quimbayo Gomez, Jhon Alejandro Botero Gomez, Leyder Andres Cabrales Salazar, Jhojan David Reinoso Bernal, Andres Felipe Marín Rodríguez. (2021). Business Intelligence Information in the World Under Control. American Journal of Computer Science and Technology, 4(3), 55-74. https://doi.org/10.11648/j.ajcst.20210403.12
ACS Style
Andres Felipe Quimbayo Gomez; Jhon Alejandro Botero Gomez; Leyder Andres Cabrales Salazar; Jhojan David Reinoso Bernal; Andres Felipe Marín Rodríguez. Business Intelligence Information in the World Under Control. Am. J. Comput. Sci. Technol. 2021, 4(3), 55-74. doi: 10.11648/j.ajcst.20210403.12
AMA Style
Andres Felipe Quimbayo Gomez, Jhon Alejandro Botero Gomez, Leyder Andres Cabrales Salazar, Jhojan David Reinoso Bernal, Andres Felipe Marín Rodríguez. Business Intelligence Information in the World Under Control. Am J Comput Sci Technol. 2021;4(3):55-74. doi: 10.11648/j.ajcst.20210403.12
@article{10.11648/j.ajcst.20210403.12, author = {Andres Felipe Quimbayo Gomez and Jhon Alejandro Botero Gomez and Leyder Andres Cabrales Salazar and Jhojan David Reinoso Bernal and Andres Felipe Marín Rodríguez}, title = {Business Intelligence Information in the World Under Control}, journal = {American Journal of Computer Science and Technology}, volume = {4}, number = {3}, pages = {55-74}, doi = {10.11648/j.ajcst.20210403.12}, url = {https://doi.org/10.11648/j.ajcst.20210403.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20210403.12}, abstract = {As a starting point and to clarify the methodology of this project we emphasize that the first person to coin the term Business Intelligence was Hans Peter Luhn, IBM researcher, who, in his article "A Business Intelligence System" published in 1958 mentions the term and provides the following definition: "is the ability to learn the relationships of facts presented in a way that guides actions towards a desired goal". And although it is quite basic compared to today, it opens the doors to a large field of research that brings us to one of the most important technologies of today. Years later topics were introduced to the world of BI, as for example the creation of the concept of database, then large databases for large companies, in the same way the concept of the Datawarehouse, time later arrived the Business Intelligence 2.0, Big data and so on to structure a robust methodology in which all companies worldwide would be immersed. On the other hand, and hand the main objective of the BI was structured. It allows companies to optimize resources, monitor the fulfillment of the company’s objectives and the ability to make good decisions to obtain better results. It represents a competitive advantage for the company, since it acts as a strategic factor in its organization and responds to the doubts that arise in a business, such as financial control, cost optimization, customer profile analysis, production planning or profitability of a product. Thus, all Business Intelligence systems have in common the following features: Accessibility to information: these tools and techniques guarantee users' access to data, regardless of where they come from. Decision Support: Users are sought to have access to analytics tools that allow them to select and use the data they are most interested in. End-User Orientation: The aim is the independence between the technical knowledge of users and their ability to use these tools.}, year = {2021} }
TY - JOUR T1 - Business Intelligence Information in the World Under Control AU - Andres Felipe Quimbayo Gomez AU - Jhon Alejandro Botero Gomez AU - Leyder Andres Cabrales Salazar AU - Jhojan David Reinoso Bernal AU - Andres Felipe Marín Rodríguez Y1 - 2021/08/27 PY - 2021 N1 - https://doi.org/10.11648/j.ajcst.20210403.12 DO - 10.11648/j.ajcst.20210403.12 T2 - American Journal of Computer Science and Technology JF - American Journal of Computer Science and Technology JO - American Journal of Computer Science and Technology SP - 55 EP - 74 PB - Science Publishing Group SN - 2640-012X UR - https://doi.org/10.11648/j.ajcst.20210403.12 AB - As a starting point and to clarify the methodology of this project we emphasize that the first person to coin the term Business Intelligence was Hans Peter Luhn, IBM researcher, who, in his article "A Business Intelligence System" published in 1958 mentions the term and provides the following definition: "is the ability to learn the relationships of facts presented in a way that guides actions towards a desired goal". And although it is quite basic compared to today, it opens the doors to a large field of research that brings us to one of the most important technologies of today. Years later topics were introduced to the world of BI, as for example the creation of the concept of database, then large databases for large companies, in the same way the concept of the Datawarehouse, time later arrived the Business Intelligence 2.0, Big data and so on to structure a robust methodology in which all companies worldwide would be immersed. On the other hand, and hand the main objective of the BI was structured. It allows companies to optimize resources, monitor the fulfillment of the company’s objectives and the ability to make good decisions to obtain better results. It represents a competitive advantage for the company, since it acts as a strategic factor in its organization and responds to the doubts that arise in a business, such as financial control, cost optimization, customer profile analysis, production planning or profitability of a product. Thus, all Business Intelligence systems have in common the following features: Accessibility to information: these tools and techniques guarantee users' access to data, regardless of where they come from. Decision Support: Users are sought to have access to analytics tools that allow them to select and use the data they are most interested in. End-User Orientation: The aim is the independence between the technical knowledge of users and their ability to use these tools. VL - 4 IS - 3 ER -