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Business Intelligence Information in the World Under Control

2021; Science Publishing Group; Volume: 4; Issue: 3 Linguagem: Inglês

10.11648/j.ajcst.20210403.12

2640-012X

Andres Felipe Quimbayo Gomez, Jhon Alejandro Botero Gomez, Leyder Andres Cabrales Salazar, Jhojan David Reinoso Bernal, Andres Felipe Marín Rodríguez,

Big Data and Business Intelligence

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.