IDEAS home Printed from https://ideas.repec.org/a/aio/rteyej/v1y2013i21p182-189.html
   My bibliography  Save this article

Optimization Of The Managerial Decisions With The Help Of The Business Intelligence Applications And Of The Econometric Models

Author

Listed:
  • Assoc. Prof. Luminita Serbanescu Ph.D

    (University of Pitesti Faculty of Economic Sciences, Pitesti, Romania)

  • Lect. Consuela Necsulescu Ph.D.

    (University of Pitesti Faculty of Economic Sciences, Pitesti, Romania)

Abstract

In this article we presented the importance of using a Business Intelligence solution for any company, as well as the implementation of an econometric model in order to obtain a useful correlation for making managerial decisions. The case study was made on a company distributing food products. We developed a number of analysis reports on the sales forecast with the QlikView application, and the analysis of the link between the average price and the quantity of the products sold was made by means of the econometric regression models. The projection of the reports, charts and monitoring tools contributes to the business performance measurement, the analysis of the trends and the measurement of the results.

Suggested Citation

  • Assoc. Prof. Luminita Serbanescu Ph.D & Lect. Consuela Necsulescu Ph.D., 2013. "Optimization Of The Managerial Decisions With The Help Of The Business Intelligence Applications And Of The Econometric Models," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(21), pages 182-189, NOVEMBER.
  • Handle: RePEc:aio:rteyej:v:1:y:2013:i:21:p:182-189
    as

    Download full text from publisher

    File URL: http://feaa.ucv.ro/RTE/021-17.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    business intelligence; managerial decisions; analysis reports; correlation chart; ordinary least squares method;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:aio:rteyej:v:1:y:2013:i:21:p:182-189. 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: Ionascu Costel (email available below). General contact details of provider: https://edirc.repec.org/data/fecraro.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.