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Agent-Based Design Of Business Intelligence System Architecture

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  • Roman Å PERKA

Abstract

Business intelligence is a business management term used to describe applications and technologies which are used to gather, provide access to, and analyse data and information about the organization, to help make better business decisions. The multi-agent approach provides a feasible solution for construction of the business intelligence system. This paper firstly briefly introduces the traditional business intelligence architecting principles and multi-agent approach. Secondly, a design of business intelligence system architecture is proposed, which is composed of the system framework, agent description and system workflow. This design allows to reduce effectively the construction costs of business intelligence systems and to extend the applied scope of business intelligence by minimizing the amount of data transfer and data storage. Using the predictive functionality of the system can bring a significant competitive advantage of business units. The paper presents a new approach for business intelligence architecture modelling, representing an extension over existing systems.

Suggested Citation

  • Roman Å PERKA, 2012. "Agent-Based Design Of Business Intelligence System Architecture," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(3(21)/ Fa), pages 326-333.
    • Handle: RePEc:ush:jaessh:v:7:y:2012:i:3(21)_fall2012:p:326
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    File URL: http://www.jaes.reprograph.ro/articles/Fall2012/articles/SperkaR.pdf
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    References listed on IDEAS

    as
    1. Marek SPIÅ Ã K & Roman Å PERKA, 2011. "Financial Market Simulation Based On Intelligent Agents €“ Case Study," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 6(3(17)/ Fa), pages 249-256.
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    More about this item

    Keywords

    multi-agent; business intelligence; software agent; architecture; MAS;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • Y80 - Miscellaneous Categories - - Related Disciplines - - - Related Disciplines
    • M29 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Other

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