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Big Data In Business Environment

Listed author(s):
  • Logica BANICA


    (Faculty of Economics, University of Pitesti, Romania)

  • Alina HAGIU


    (Faculty of Economics, University of Pitesti, Romania)

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.

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Article provided by University of Pitesti in its journal Scientific Bulletin - Economic Sciences.

Volume (Year): 14 (2015)
Issue (Month): 1 ()
Pages: 79-86

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Handle: RePEc:pts:journl:y:2015:i:1:p:79-86
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  1. T. Heller & R. Huet & Bénédicte Vidaillet, 2013. "Introduction," Post-Print hal-00848256, HAL.
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