IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/v27y2023i2p15-24.html
   My bibliography  Save this article

An Overview of Data Vault Methodology and Its Benefits

Author

Listed:
  • Andreea VINES
  • Radu-Eleonor SAMOILA

Abstract

Business Intelligence plays a vital role in helping organizations to extract meaningful insights from their data and make informed decisions. However, choosing the right data modeling approach can be challenging, as different methodologies have unique advantages and limitations. The focus of the current paper is to provide an insight into the Data Vault architecture, which is an emerging approach to data modeling, compared to the established methods of Kimball and Inmon. The paper conducted a comparative analysis of these methodologies, with a particular emphasis on the benefits of Data Vault. This study highlights the advantages of the Data Vault model in managing data from multiple sources and its compatibility with agile implementation practices. Overall, this paper sheds light on the relevance of Data Vault in contemporary data management practices.

Suggested Citation

  • Andreea VINES & Radu-Eleonor SAMOILA, 2023. "An Overview of Data Vault Methodology and Its Benefits," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 27(2), pages 15-24.
  • Handle: RePEc:aes:infoec:v:27:y:2023:i:2:p:15-24
    as

    Download full text from publisher

    File URL: https://revistaie.ase.ro/content/106/02%20-%20vines,%20samoila.pdf
    Download Restriction: no
    ---><---

    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:infoec:v:27:y:2023:i:2:p:15-24. 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: Paul Pocatilu (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.