Vol.12, No.4, November 2023.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Business Intelligence Applied in the Corporate Sector: A Systematic Review

 

Jorge Isaac Necochea-Chamorro, Luigui Larrea-Goycochea

 

© 2023 Jorge Isaac Necochea-Chamorro, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 12, Issue 4, Pages 2225-2234, ISSN 2217-8309, DOI: 10.18421/TEM124-33 November 2023.

 

Received: 18 July 2023.

Revised:   16 October 2023.
Accepted: 31 October 2023.
Published: 27 November 2023.

 

Abstract:

 

Companies rely on technological tools like Business Intelligence (BI) to make efficient decisions and gain a competitive edge in the market. This study investigates the implementation of BI in various company areas, methodologies used, benefits obtained, tools applied, and elements of BI in the business sector. Following the Kitchenham and Charters methodology, a bibliographic search in 5 databases yielded 16 relevant articles. According to the main results of the work: logistics was one of the areas where BI was most implemented, followed by sales and finance; the most used methodology was Ralph Kimball; also, the most cited benefits were decision-making, cost optimization, and knowledge generation; the most used BI tool was Power BI, followed by QlikView; and the BI elements most applied in the business area were ETL and OLAP, closely followed by dashboards.

 

Keywords – Business intelligence, technological tools, decision making, productivity, methodology to implement business intelligence.

 

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