IDEAS home Printed from https://ideas.repec.org/a/blg/reveco/v70y2018i4p94-104.html
   My bibliography  Save this article

Data Mining And Big Data Processing For Marketing

Author

Listed:
  • Ciprian-Marcel POP

    (Babes-Bolyai University)

  • Eniko Elisabeta BODEA

    (Babes-Bolyai University)

Abstract

This papers approaches marketing through the eyes of informatics, how this mix (between marketing and informatics) does works out for consumers and marketers. We look in both direction and try to find out who is winning more: consumers or marketing specialists. We look specifically into concept like Data Mining and Big Data or algorithm in Marketing. This being the consequence of the fact that in our days data is stored in data bases and, in order to obtain information out of it, some tools and methods are needed, and we think that this two (data mining and big data) are used widely in marketing to target customers profiles and to discover and predict trends. We are looking to answer the questions: Who needs more informatics and marketing: Consumers or Marketing Specialists? Are we using informatics in marketing or marketing in informatics? Some twisted questions that challenged us.

Suggested Citation

  • Ciprian-Marcel POP & Eniko Elisabeta BODEA, 2018. "Data Mining And Big Data Processing For Marketing," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 70(4), pages 94-104, September.
  • Handle: RePEc:blg:reveco:v:70:y:2018:i:4:p:94-104
    as

    Download full text from publisher

    File URL: http://economice.ulbsibiu.ro/revista.economica/archive/70407pop&bodea.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Data Mining; Big Data; Marketing; Consumers; Marketing Specialists;
    All these keywords.

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    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:blg:reveco:v:70:y:2018:i:4:p:94-104. 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: Eduard Alexandru Stoica (email available below). General contact details of provider: https://edirc.repec.org/data/feulbro.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.