Business Intelligence Analytics Tools

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Abstract

Information is one of the most important assets for organizations. In the current scenario of a stagnant economy and fierce competition, it is imperative for organizations to be proactive, and for this to be possible, it is necessary to have timely access to the necessary information, so that it supports the decision-making process, thus allowing anticipate business strategies to react in a timely manner. It is in this context that Business Intelligence (BI) and its tools arise. Through BI it is possible to have access to an integrated set of solutions that allow data analysis in order to capture the information and knowledge necessary to leverage the business. BI allows organizations to use tools to analyze, plan, predict, solve problems, understand, innovate and learn in order to increase organizational knowledge, allowing effective actions that help to establish and achieve concrete business objectives in order to increase its efficiency and competitiveness. There is a wide variety of BI tools available on the market, which facilitate the use of the right data and visualization in ways that allow you to understand what it means. It is pertinent that organizations know how to select the appropriate tools for their needs. In this sense, a comparative analysis will be carried out between the different BI tools. The characteristics, specifications, and attributes of each one of them will be detailed to know key aspects of the tools that help the different organizations, regardless of the service they offer, to achieve their processes in an effective and efficient way. This comparison will allow companies to have a new perspective when using BI tools and generating business strategies.

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APA

Guarda, T., Carvaca, A., Gozabay, R., Saquicela, M., & Tomalá, H. (2022). Business Intelligence Analytics Tools. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13381 LNCS, pp. 352–362). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-10548-7_26

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