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Big Data In Business Environment

Author

Listed:
  • Logica BANICA

    (Faculty of Economics, University of Pitesti, Romania)

  • Alina HAGIU

    (Faculty of Economics, University of Pitesti, Romania)

Abstract

In recent years, dealing with a lot of data originating from social media sites and mobile communications among data from business environments and institutions, lead to the definition of a new concept, known as Big Data. The economic impact of the sheer amount of data produced in a last two years has increased rapidly. It is necessary to aggregate all types of data (structured and unstructured) in order to improve current transactions, to develop new business models, to provide a real image of the supply and demand and thereby, generate market advantages. So, the companies that turn to Big Data have a competitive advantage over other firms. Looking from the perspective of IT organizations, they must accommodate the storage and processing Big Data, and provide analysis tools that are easily integrated into business processes. This paper aims to discuss aspects regarding the Big Data concept, the principles to build, organize and analyse huge datasets in the business environment, offering a three-layer architecture, based on actual software solutions. Also, the article refers to the graphical tools for exploring and representing unstructured data, Gephi and NodeXL.

Suggested Citation

  • Logica BANICA & Alina HAGIU, 2015. "Big Data In Business Environment," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 14(1), pages 79-86.
    • Handle: RePEc:pts:journl:y:2015:i:1:p:79-86
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    Cited by:

    1. Logica BANICA & Victoria-Mihaela BRINZEA & Magdalena RADULESCU, 2015. "Analyzing Social Networks From The Perspective Of Marketing Decisions," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 14(3), pages 37-50.

    More about this item

    Keywords

    Big Data; business environment; analysis software.;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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