IDEAS home Printed from https://ideas.repec.org/a/alu/journl/v1y2010i12p16.html
   My bibliography  Save this article

Measuring The Performance Of Educational Entities With A Data Warehouse

Author

Listed:
  • Mihai Paunica

    (Academy of Economic Studies Bucharest)

  • Marian Liviu Matac

    (Academy of Economic Studies Bucharest)

  • Alexandru Lucian Manole

    (Artifex University Bucharest)

  • Catalina Motofei

    (Academy of Economic Studies Bucharest)

Abstract

This paper attempts to outline the benefits of using a data warehouse for supportingthe management decisions in a pre-academic learning institution. One of the aspects is themeasurement of the scholar performance of the pupils, correlated with the financial efforts made bythe school management. The performance is analyzed from a multi-dimensional perspective, whichallows the extraction of high quality information.

Suggested Citation

  • Mihai Paunica & Marian Liviu Matac & Alexandru Lucian Manole & Catalina Motofei, 2010. "Measuring The Performance Of Educational Entities With A Data Warehouse," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(12), pages 1-16.
  • Handle: RePEc:alu:journl:v:1:y:2010:i:12:p:16
    as

    Download full text from publisher

    File URL: http://oeconomica.uab.ro/upload/lucrari/1220101/16.pdf
    Download Restriction: no

    Citations

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


    Cited by:

    1. repec:hur:ijaraf:v:7:y:2017:i:3:p:38-47 is not listed on IDEAS

    More about this item

    Keywords

    data warehouse; education; analysis; performance; multidimensional;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    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:alu:journl:v:1:y:2010:i:12:p:16. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dan-Constantin Danuletiu). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.