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The Geographical Dimension Of Dss Applications

Author

Listed:
  • Dinu AIRINEI
  • Daniel HOMOCIANU

    (Business Administration Department, Faculty of Economics and Business Administration, Alexandru Ioan Cuza University)

Abstract

Nowadays many Decision Support Applications tend to combine the multi-criteria decision analysis of historical data with new reporting facilities as alerts and some corresponding to key performance indicators that describe so well a new field and approach called Business Intelligence. Moreover GIS and DSS applications altogether become more relevant to most business than as distinctive parts. This paper justifies with many arguments the association between such approaches and technologies. To support that we have decided to give some practical examples of geographical queries with efficient results lunched in classical applications based on the interaction with a dedicated GIS system.

Suggested Citation

  • Dinu AIRINEI & Daniel HOMOCIANU, 2009. "The Geographical Dimension Of Dss Applications," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 56, pages 637-642, November.
  • Handle: RePEc:aic:journl:y:2009:v:56:p:637-642
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    Citations

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    Cited by:

    1. Daniel HOMOCIANU & Dinu AIRINEI, 2017. "The Excel Data Mining Add-in. Applications in audit and financial reports," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 15(147), pages 451-451.
    2. Dinu Airinei & Daniel Homocianu, 2011. "Meanings Of The Global Business Intelligence," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 2011, pages 237-243, july.
    3. Daniel Homocianu & Dinu Airinei, 2022. "PCDM and PCDM4MP: New Pairwise Correlation-Based Data Mining Tools for Parallel Processing of Large Tabular Datasets," Mathematics, MDPI, vol. 10(15), pages 1-27, July.

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