IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v1y2005i1-2p220-238.html
   My bibliography  Save this article

The Ladder of Business Intelligence (LOBI): a framework for enterprise IT planning and architecture

Author

Listed:
  • James E. Cates
  • Sam S. Gill
  • Natalie Zeituny

Abstract

The LOBI Framework is a methodology that facilitates the creation of an Information Technology (IT) plan and the design of IT architecture for a business. The LOBI Framework derives the plan and the architecture on the basis of the business objectives through a detailed analysis of the people, process, and technology mix of a business. This paper shows how the LOBI framework forces alignment between the business strategy and the IT strategy through a step-wise methodology that inductively proceeds from vision, through mission and core processes, to IT initiatives. The LOBI Framework also allows business intelligence to be defined in an operational sense, and shows how the effectiveness of utilising business intelligence can be measured, and how it is possible to differentiate between effectiveness and efficiency as a measure of intelligence value. Finally, the LOBI Framework facilitates mapping all IT Technology used in a business to six levels of intelligence.

Suggested Citation

  • James E. Cates & Sam S. Gill & Natalie Zeituny, 2005. "The Ladder of Business Intelligence (LOBI): a framework for enterprise IT planning and architecture," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 1(1/2), pages 220-238.
  • Handle: RePEc:ids:ijbisy:v:1:y:2005:i:1/2:p:220-238
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=7408
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Stefan Debortoli & Oliver Müller & Jan Brocke, 2014. "Comparing Business Intelligence and Big Data Skills," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(5), pages 289-300, October.

    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:ids:ijbisy:v:1:y:2005:i:1/2:p:220-238. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=172 .

    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.