IDEAS home Printed from https://ideas.repec.org/a/aes/dbjour/v11y2020i1p24-36.html
   My bibliography  Save this article

Business Intelligence and Machine Learning. Integrated cloud solutions providing business insights for decision makers

Author

Listed:
  • Laura-Gabriela Tanasescu

    (The Bucharest University of Economic Studies, Romania)

Abstract

The aim of this paper is to present the latest trends in business intelligence and ways in which nowadays organizations can implement cloud technologies. This work is going to present challenges of the market, providers of integrated cloud business intelligences tools, advantages and disadvantages of moving to the cloud. A real life use case will argue the importance of taking advantage of data, as well as the necessity and the obvious benefits of having the right tools of transforming data into correct business decisions.

Suggested Citation

  • Laura-Gabriela Tanasescu, 2020. "Business Intelligence and Machine Learning. Integrated cloud solutions providing business insights for decision makers," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(1), pages 24-36.
    • Handle: RePEc:aes:dbjour:v:11:y:2020:i:1:p:24-36
    as

    Download full text from publisher

    File URL: https://www.dbjournal.ro/archive/31/31_3.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laura-Gabriela TANASESCU, 2021. "Sentiment Analysis for Human Resources: A Comparative Analysis of Methods That Can Be Used Along With Modern Technologies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 25(2), pages 40-49.

    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:aes:dbjour:v:11:y:2020:i:1:p:24-36. 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: Adela Bara (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.