IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-3-319-91959-1_8.html
   My bibliography  Save this book chapter

Business Intelligence

In: Distribution Strategy

Author

Listed:
  • Livio Moretti

    (European Institute of Business Administration)

Abstract

Speculation is a poor form of investment. Data-driven decision making is a better alternative. However for some reasons Companies usually make a half-hearted effort in capturing the full value of their data. Sometimes they lack the leadership vision, sometimes the internal capabilities, sometimes they don’t know how to invest in systems that really generate value. Machine and Deep learning, Big Data, Artificial Intelligence, often misused terms, seem to be everywhere, their applications are growing in leaps and bounds. Data and information management play an increasingly crucial role in any strategic decision and the competition is Darwinistically raising the bar. Leaders can’t afford to be the last in the pool and need to be prepared for the upcoming revolutions by starting making better decisions on their systems today. This chapter purveys concrete ideas to make the most out of these precious intangible assets. It delivers a simplified, non-technical, overview about how data should be handled and used. By reading this chapter you will understand the basic concepts related to Data Warehouses, Cubes, Lakes and visualize the big picture when choosing the right Systems, have a say in analytical versus sample testing, grasp the core concepts of modularity and finally be able to discern among Business Intelligence options.

Suggested Citation

  • Livio Moretti, 2019. "Business Intelligence," Management for Professionals, in: Distribution Strategy, chapter 8, pages 179-201, Springer.
  • Handle: RePEc:spr:mgmchp:978-3-319-91959-1_8
    DOI: 10.1007/978-3-319-91959-1_8
    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.

    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:mgmchp:978-3-319-91959-1_8. 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.