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Business Intelligence For Educational Purpose

Author

Listed:
  • Banica Logica

    (University of Pitesti)

  • Stefan Liviu Cristian

    (University of Pitesti)

  • Jurian Mariana

    (University of Pitesti)

Abstract

The paper follows three main directions: business intelligence – as a software tool, companies – as an application field and top management – as target of intelligent efforts. From this symbiosis does result an advantage, scientific and data based educational tool, having the goal to give the students a tool to explore data collections and analysis methods in order to improve the management of a company and forecast its evolution. The purpose of Business Intelligence (BI) software is to help the firms on acquiring knowledge about highlights and dangerous trends, to observe the connections and to forecast the future market evolutions. From this perspective, we consider that students need to learn theory and practical application about BI. After an overview of the BI main concepts, we choose to use the facilities of Jaspersoft BI software; to model the most frequently used analysis requirements, displaying the most relevant data and key indicators, following the steps of a BI system.

Suggested Citation

  • Banica Logica & Stefan Liviu Cristian & Jurian Mariana, 2014. "Business Intelligence For Educational Purpose," Balkan Region Conference on Engineering and Business Education, Sciendo, vol. 1(1), pages 333-338, August.
    • Handle: RePEc:vrs:brcebe:v:1:y:2014:i:1:p:333-338:n:49
    DOI: 10.2478/cplbu-2014-0049
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    1. Zuxiang Wang & Yew‐Kwang Ng & Russell Smyth, 2011. "A General Method For Creating Lorenz Curves," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(3), pages 561-582, September.
    2. David Olson & Qing Cao & Ching Gu & Donhee Lee, 2009. "Comparison of customer response models," Service Business, Springer;Pan-Pacific Business Association, vol. 3(2), pages 117-130, June.
    3. Emanuel Moench & Serena Ng & Simon Potter, 2013. "Dynamic Hierarchical Factor Model," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1811-1817, December.
    4. An, Lihua & Nkurunziza, Sévérien & Fung, Karen Y. & Krewski, Daniel & Luginaah, Isaac, 2009. "Shrinkage estimation in general linear models," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2537-2549, May.
    5. Milne, Eugene M. G., 2009. "A New Model of Ageing and Mortality," British Actuarial Journal, Cambridge University Press, vol. 15(S1), pages 213-234, January.
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