IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v3y2018i4id60686.html

Role of Big Data in Business and Information Technology

Author

Listed:
  • Deepali Deoram Patil

    (University of Bridgeport)

Abstract

This paper aims to evaluate the significance of the impact of big data in various fields and determine its future in those areas. A comprehensive review of literature on influence and trends of big data variables with respect to different fields built hypothetical foundation of the paper. The big data is a tremendous amount of structured and unstructured data that provides major insights into a particular field which further supports the decision-making systems and builds the foundation of company’s competitiveness. Data contributes in the processing, evaluation, understanding and decision-making steps. Big data influences every area that constitutes of pools of data. This proposed paper is beneficial to accumulate the knowledge regarding the hidden patterns and insights of big data variables and assess the value of it in major areas such as business and information technology.

Suggested Citation

  • Deepali Deoram Patil, 2018. "Role of Big Data in Business and Information Technology," European Journal of Engineering and Technology Research, European Open Science, vol. 3(4), pages 32-35, April.
    • Handle: RePEc:epw:ejeng0:v:3:y:2018:i:4:id:60686
    DOI: 10.24018/ejeng.2018.3.4.686
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/60686
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/60686/11874
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2018.3.4.686?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:epw:ejeng0:v:3:y:2018:i:4:id:60686. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.