• DocumentCode
    659535
  • Title

    Business model canvas perspective on big data applications

  • Author

    Muhtaroglu, F. Canan Pembe ; Demir, Simsek ; Obali, M. ; Girgin, Canan

  • Author_Institution
    TUBITAK-BILGEM, Gebze, Turkey
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    32
  • Lastpage
    37
  • Abstract
    Large and complex data that becomes difficult to be handled by traditional data processing applications triggers the development of big data applications which have become more pervasive than ever before. In the era of big data, data exploration and analysis turned into a difficult problem in many sectors such as the smart routing and health care sectors. Companies which can adapt their businesses well to leverage big data have significant advantages over those that lag this capability. The need for exploring new approaches to address the challenges of big data forces companies to shape their business models accordingly. In this paper, we summarize and share our findings regarding the business models deployed in big data applications in different sectors. We analyze existing big data applications by taking into consideration the core elements of a business (via business model canvas) and present how these applications provide value to their customers by making profit out of using big data.
  • Keywords
    Big Data; business data processing; data analysis; Big Data applications; business model canvas; companies; complex data; data analysis; data exploration; data processing applications; large data; Communities; Companies; Data handling; Data models; Data storage systems; Information management; big data applications; business model canvas; business models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data, 2013 IEEE International Conference on
  • Conference_Location
    Silicon Valley, CA
  • Type

    conf

  • DOI
    10.1109/BigData.2013.6691684
  • Filename
    6691684