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Cloud Computing Technology - Optimal Solution for Efficient Use of Business Intelligence and Enterprise Resource Planning Applications

Author

Listed:
  • Teodora Vătuiu

    (“Titu Maiorescu” University)

  • Mioara Udrică

    (“Titu Maiorescu” University)

  • Naiana Tarcă

    (“Oradea” University)

Abstract

Given the current economic climate, cloud technology is an alternative for organizations to provide quality services at low cost. Business Intelligence (BI) has today an important role in generating current information for strategic and operational decisions, so organizations need to focus on these investments for a better understanding of internal and external forces that influence decision making in order to improve performance. Because Business Intelligence does not offer ways of planning, management, monitoring and control of the strategic objectives, the organizations need the adoption of enterprise resource planning system (Enterprise Resource Planning - ERP). Using two types of applications offers obvious advantages for daily operations. For efficient use of BI and ERP applications, Cloud Computing Technology provides the optimal solution; this technology is accessed through the Internet, as a service (SaaS) on a monthly subscription. The Journal: Journal of Knowledge Management, Economics and Information Technology

Suggested Citation

  • Teodora Vătuiu & Mioara Udrică & Naiana Tarcă, 2013. "Cloud Computing Technology - Optimal Solution for Efficient Use of Business Intelligence and Enterprise Resource Planning Applications," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 3(6), pages 1-28, December.
    • Handle: RePEc:spp:jkmeit:spi13-28
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    References listed on IDEAS

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    1. Muntean, Mihaela, 2012. "Theory and Practice in Business Intelligence," MPRA Paper 41359, University Library of Munich, Germany, revised 15 Sep 2012.
    2. Ion Lungu & Teodora Vătuiu, 2008. "Manageability Comparison: Oracle Database 10g and Oracle 9i Database," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 8(1), pages 295-300.
    3. Muntean, Mihaela & Mircea, Gabriela & Bazavan, Sandra, 2012. "QR Codes Usage Approach In The Virtualized Consumption," MPRA Paper 41141, University Library of Munich, Germany, revised 27 Apr 2012.
    4. Muntean, Mihaela, 2012. "Business Intelligence Approaches," MPRA Paper 41139, University Library of Munich, Germany, revised 03 Jun 2012.
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