Economics at your fingertips  


Logica Bănică () and Alina Hagiu

Scientific Bulletin - Economic Sciences, 2015, vol. 14, issue 1, 79-86

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.

Keywords: Big Data; business environment; analysis software. (search for similar items in EconPapers)
JEL-codes: C82 M21 C88 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Scientific Bulletin - Economic Sciences is currently edited by Logica Banica

More articles in Scientific Bulletin - Economic Sciences from University of Pitesti Contact information at EDIRC.
Bibliographic data for series maintained by Logica Banica ().

Page updated 2019-02-11
Handle: RePEc:pts:journl:y:2015:i:1:p:79-86