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Business Intelligence: Future Perspectives (April, 2016)

Published: 20 July 2016 Publication History

Abstract

Business Intelligence (BI) is a field where most of its tools and procedures have gradually changed with time: the advent rise of information circulation, and the more valuable it gets, combined with the sophistication of the technology surrounding the area, makes BI technology advancements seem much more of a reality. With the positive impact BI has had in businesses such as the improvement of the product's quality and the better customer behavior pattern analysis it brought to companies, BI is considered a standard way of analyzing data and of acquiring knowledge, so businesses know how to operate in the short, medium and long-term. This paper will discuss some of the new paradigms and perspectives being debated in the BI industry, as well as to bring into discussion new concepts that appear to be fully attainable, taking into account the current technology advancement, as well as the current discussion topics in the BI community.

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  • (2024)Advancing Digital Maturity in Healthcare Through Comprehensive Integration of Business Intelligence, K-Means Clustering, and Python ProgrammingSelected Papers from the 10th International Conference on E-Business and Applications 202410.1007/978-981-97-3409-2_8(83-94)Online publication date: 9-Aug-2024
  • (2021)Business IntelligenceA Primer on Multiple Intelligences10.1007/978-3-030-77584-1_14(177-190)Online publication date: 25-Jul-2021
  1. Business Intelligence: Future Perspectives (April, 2016)

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      cover image ACM Other conferences
      C3S2E '16: Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering
      July 2016
      152 pages
      ISBN:9781450340755
      DOI:10.1145/2948992
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 20 July 2016

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      Author Tags

      1. Business intelligence
      2. data
      3. dynamic knowledge
      4. information reliability
      5. knowledge

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      View all
      • (2024)Advancing Digital Maturity in Healthcare Through Comprehensive Integration of Business Intelligence, K-Means Clustering, and Python ProgrammingSelected Papers from the 10th International Conference on E-Business and Applications 202410.1007/978-981-97-3409-2_8(83-94)Online publication date: 9-Aug-2024
      • (2021)Business IntelligenceA Primer on Multiple Intelligences10.1007/978-3-030-77584-1_14(177-190)Online publication date: 25-Jul-2021

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