IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-030-67032-0_7.html
   My bibliography  Save this book chapter

Business Intelligence Technologies

In: Business Intelligence

Author

Listed:
  • Rimvydas Skyrius

    (Vilnius University)

Abstract

As BI technologies are covered in great detail in many sources, this chapter is more of an overview nature. Its goal is to cover the landscape of the most important BI technologies regarding their placement in BI value chain, and to expose their most important benefits and limitations. The technologies reviewed in this chapter are: data collection and storage; multidimensional data analysis and OLAP; self-service tools; business analytics including data mining and Big Data analytics; modeling and simulation; text analytics; presentation and visualization; artificial intelligence (AI) and machine learning (ML); communication and collaboration platforms; and technology deployment issues. The field is developing rapidly, and it is nearly impossible to keep up with the latest innovations in a book that takes time to be published. For example, artificial intelligence technologies currently are experiencing a substantial rise; however, the corresponding paragraph in this chapter is rather brief—there are many sources that can give much more detailed descriptions and explanations. Some of the established BI technologies, however, have firmly found their place in corporate information activities, and the author hopes that their coverage in this book is sufficiently complete.

Suggested Citation

  • Rimvydas Skyrius, 2021. "Business Intelligence Technologies," Progress in IS, in: Business Intelligence, edition 1, chapter 0, pages 145-185, Springer.
    • Handle: RePEc:spr:prochp:978-3-030-67032-0_7
    DOI: 10.1007/978-3-030-67032-0_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Constantin BRATIANU & Nicolae Alexandru BUDEANU, 2023. "National Security Intelligence and Business Intelligence: A Comparative Analysis," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 24(2), pages 188-197, May.

    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:spr:prochp:978-3-030-67032-0_7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.