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The Quality Of Data And Metadata In A Datawarehouse


  • Carmen RADUT

    () (“Constantin Brâncoveanu” University, Romania)


The data quality is an important concept for the economic applications used in the process of analysis. The databases were revolutionized when they first started being used with large amountsof data. From this point on, an important process is represented by storing multidimensional data in datawarehouses, in order to be processed and analyzed with the purpose of obtaining information which can be used for decision making in various activities. Specialty studies show that most data is not useful for the purpose it has been collected because of both the lack of quality and incorrect techniques of manipulating this data. This study will try to offer a process of obtaining quality data in data archives and how to avoid quality anomalies inside metadata.

Suggested Citation

  • Carmen RADUT, 2013. "The Quality Of Data And Metadata In A Datawarehouse," Management Strategies Journal, Constantin Brancoveanu University, vol. 19(1), pages 36-40.
  • Handle: RePEc:brc:journl:v:19:y:2013:i:1:p:36-40

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    References listed on IDEAS

    1. Altinok, Nadir & Murseli, Hatidje, 2007. "International database on human capital quality," Economics Letters, Elsevier, vol. 96(2), pages 237-244, August.
    2. Thomas Bolli & Mathias Zurlinden, 2012. "Measurement of labour quality growth caused by unobservable characteristics," Applied Economics, Taylor & Francis Journals, vol. 44(18), pages 2297-2308, June.
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    More about this item


    metadata; data warehouse; quality; architecture;

    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
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other


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