IDEAS home Printed from https://ideas.repec.org/a/aic/revebs/y2016j17tofand.html
   My bibliography  Save this article

Business Intelligence Security

Author

Listed:
  • Dragos Ovidiu TOFAN

    (Alexandru Ioan Cuza” University, Faculty of Economics and Business Administration, Doctoral School Of Economics and Business Administration, Iasi, Romania)

Abstract

Excess information characteristic to the current environment leads to the need for a change of the organizations’ perspective and strategy not only through the raw data processing, but also in terms of existing applications generating new information. The overwhelming evolution of digital technologies and web changes led to the adoption of new and adapted internal policies and the emergence of regulations at level of governments or different social organisms. Information security risks arising from the current dynamics demand fast solutions linked to hardware, software and also to education of human resources. Business Intelligence (BI) solutions have their specific evolution in order to bring their contribution to ensure the protection of data through specific components (Big Data, cloud, analytics). The current trend of development of BI applications on mobile devices brings with it a number of shortcomings related to information security and require additional protective measure regarding flows, specific processing and data storage.

Suggested Citation

  • Dragos Ovidiu TOFAN, 2016. "Business Intelligence Security," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 17, pages 53-69, June.
    • Handle: RePEc:aic:revebs:y:2016:j:17:tofand
    as

    Download full text from publisher

    File URL: http://rebs.feaa.uaic.ro/articles/pdfs/205.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dinu AIRINEI & Dora-Anca BERTA, 2012. "Semantic Business Intelligence - a New Generation of Business Intelligence," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 16(2), pages 72-80.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Doina PRODAN-PALADE, 2017. "Bankruptcy risk prediction models based on artificial neural networks," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 15(147), pages 418-418.

    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:aic:revebs:y:2016:j:17:tofand. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sireteanu Napoleon-Alexandru (email available below). General contact details of provider: https://edirc.repec.org/data/feaicro.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.