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The Design And Implementation Of Olap System. Case Study – University Research

Author

Listed:
  • Prof. Georgeta Şoavă Ph. D

    (University of Craiova Faculty of Economics and Business Administration Craiova, Romania)

  • Assoc. Prof. Carmen Radut Ph. D

    (Constantin Brancoveanu University of Pitesti Faculty of Management Marketing in Economics Affairs Rm. Valcea, Romania)

  • Lect. Cristina Tenovici Ph. D

    (Constantin Brancoveanu University of Pitesti Faculty of Management Marketing in Economics Affairs Rm. Valcea, Romania)

Abstract

The aim of this study is to show that multidimensional modelling of existing data in organizations, depending on the topics of interest of managers and multidimensional view of data. It may also provide an effective informational support of managers in decision making, regardless of field of activity. To prove it, this study will design a data model and an OLAP multidimensional analysis of scientific research in education university.

Suggested Citation

  • Prof. Georgeta Şoavă Ph. D & Assoc. Prof. Carmen Radut Ph. D & Lect. Cristina Tenovici Ph. D, 2010. "The Design And Implementation Of Olap System. Case Study – University Research," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(38), pages 1-6, May.
    • Handle: RePEc:aio:aucsse:v:2:y:2010:i:6:p:340-345
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    More about this item

    Keywords

    OLAP; hyper - cube; n-dimensional cube; conceptual model;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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