IDEAS home Printed from https://ideas.repec.org/a/ris/sphecs/0029.html
   My bibliography  Save this article

Economic Process Optimization Deployed By Companies With Complex Activity Production – Trade – Services Using Informatics Systems With Integrated Data Mining Techniques

Author

Listed:
  • ANDRONIE, Mihai

    (Faculty of Accounting Financial-Management Spiru Haret University)

Abstract

There are many economic processes deployed by companies with a complex activity that can be optimized, among the most common being: supply, production/service, distribution, sales, suppliers/customers relationships, inventory management, human resources management, financial management, etc. After the deployment of business processes related data is obtained. The analysis of the related data must be the starting point in any attempt to optimize the economic processes because this data best reflects the actual situation of the company. In order to carry out such an analysis, several approaches have emerged to extract knowledge from the data accumulated. The first solution is to use specific software to analyze the available data. Another solution that can be successfully used is the implementation of data mining techniques within the database management software available supposing it is a new generation one.

Suggested Citation

  • ANDRONIE, Mihai, 2010. "Economic Process Optimization Deployed By Companies With Complex Activity Production – Trade – Services Using Informatics Systems With Integrated Data Mining Techniques," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 1(1), pages 77-84.
  • Handle: RePEc:ris:sphecs:0029
    as

    Download full text from publisher

    File URL: http://www.manecognitiva.ro/jurnals/spiru-haret-economics/2010/vol1/issue1/andronie.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. ŞERBAN, Măriuţa & HURLOIU, Lăcrămioara-Rodica & ŞTEFAN, Raluca-Mariana & HURLOIU, Iulian-Ioan, 2015. "Situations referring to the organization, classification and management of economic data," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 6(3), pages 31-38.

    More about this item

    Keywords

    optimization; informatics system; economic process; data mining; data analysis;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:ris:sphecs:0029. 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: Aurelian A BONDREA or Constantin Mecu (email available below). General contact details of provider: https://edirc.repec.org/data/ffuspro.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.