IDEAS home Printed from https://ideas.repec.org/a/igg/jbir00/v14y2023i1p1-14.html
   My bibliography  Save this article

Business Intelligence Tools for a Digital Services Company in Peru, 2022

Author

Listed:
  • Gladys Marisol Merino Castro

    (Universidad Privada del Norte, Peru)

  • Higinio Guillermo Wong Aitken

    (Universidad Privada del Norte, Peru)

  • Alicia Alicia Calvanapon

    (Universidad Privada del Norte, Peru)

Abstract

The objective is to propose the use of the business intelligence tool Microsoft Power BI to contribute to the best decision making in the digital services company; there are deficiencies in the ERP integrator system currently used in the company, impairing decision-making in management and corresponding headquarters. The research is of an applied type, considering as a sample those involved in the operation of the ERP integrator system. The analysis of the ERP integrator and business intelligence Power BI software was used, obtaining as results that the use of ERP integrator stores a large magnitude of data that is not easily understandable, complex reading of reports, and lack of statistical graphs. Business intelligence Power BI was applied as a solution tool, obtaining tables designed with complete and correct data, extraction of tables for their subsequent relationship, and understandable statistical graphics; Power BI allows collaborators greater understanding when reading results.

Suggested Citation

  • Gladys Marisol Merino Castro & Higinio Guillermo Wong Aitken & Alicia Alicia Calvanapon, 2023. "Business Intelligence Tools for a Digital Services Company in Peru, 2022," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 14(1), pages 1-14, January.
    • Handle: RePEc:igg:jbir00:v:14:y:2023:i:1:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJBIR.318330
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jbir00:v:14:y:2023:i:1:p:1-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.