IDEAS home Printed from https://ideas.repec.org/a/ris/sphecs/0227.html
   My bibliography  Save this article

Situations referring to the organization, classification and management of economic data

Author

Listed:
  • ŞERBAN, Măriuţa

    (Spiru Haret University, Bucharest)

  • HURLOIU, Lăcrămioara-Rodica

    (Spiru Haret University Bucharest)

  • ŞTEFAN, Raluca-Mariana

    (Spiru Haret University, Bucharest)

  • HURLOIU, Iulian-Ioan

    (Spiru Haret University, Bucharest)

Abstract

An efficient information system provides relevant, accurate, reliable and timely information to users. This information is stored as data in files, which must be arranged and maintained so that users can easily obtain the information they need. Data management is a very important part of the economic organizational information system because it influences the speed with which data can be obtained and, therefore, the decision may be taken. There are times when speed decision is vital to the economic organization. Such information systems, resource data type must be organized and structured in a logical way that allows easy access, efficient processing, fast data access and effective management.

Suggested Citation

  • 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.
    • Handle: RePEc:ris:sphecs:0227
    as

    Download full text from publisher

    File URL: http://anale-economie.spiruharet.ro/en/wp-content/uploads/2016/02/3_Serban_Hurloiu_Stefan.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mihai Andronie, 2010. "Informatics Systems With Integrated Data Mining Techniques Designed for the Economic Environment," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 2(1), pages 116-123, March.
    2. GHERASIM, Zenovic, 2010. "Competitiveness In Organizational Integrated Computer System Project Management," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 1(2), pages 215-220.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. repec:aud:audfin:v:21:y:2019:i:51:p:294 is not listed on IDEAS
    2. Daniel Adrian Gardan & Ionel Dumitru & Iuliana Petronela Gardan & Irina Elena Andronie & Cristian Uta & Mihai Andronie, 2019. "Integrating the Principles of Green Marketing by Using Big Data. Good Practices," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(50), pages 258-258, February.
    3. Cristina Nãftanãilã & Odi Mihaela Zãrnescu & Laurentia Avram & Viorica Braga & Robert Dragomir & Elena Gurgu, 2019. "Determining Romania's Position in Europe According to the Optimized Global Food Security Index in 2018," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(51), pages 294-294.
    4. repec:aud:audfin:v:21:y:2019:i:50:p:258 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Keywords

      data classification; managing data; data access; data management;
      All these keywords.

      JEL classification:

      • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

      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:0227. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.