• DocumentCode
    654990
  • Title

    Big Data Analytics in the Public Sector: Improving the Strategic Planning in World Class Universities

  • Author

    Amorim, Joni A. ; Andler, Sten F. ; Gustavsson, Per M. ; Agostinho, Oswaldo Luiz

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Skovde, Skovde, Sweden
  • fYear
    2013
  • fDate
    10-12 Oct. 2013
  • Firstpage
    155
  • Lastpage
    162
  • Abstract
    This paper presents an application in Information Fusion related to Analytics and fusion of Big Data. The approach involves the analysis of specific aspects of the management of a Brazilian university and the proposition of a new framework that may be useful mainly for universities focused on improving their strategic planning while having excellence in operational execution. The framework intends to be used for the development of new decision support systems that integrate "past data" with "real time data". The research methodology emphasizes induction with the collection of qualitative data in order to move from observed facts to theory. The main result is the framework itself while future work may involve the development and the validation of the new system.
  • Keywords
    Big Data; data analysis; data integration; decision support systems; educational administrative data processing; educational institutions; sensor fusion; strategic planning; Big Data analytics; Big Data fusion; Brazilian university management; data integration; decision support systems; information fusion; public sector; qualitative data collection; strategic planning; world class universities; Data handling; Data storage systems; Educational institutions; Information management; Organizations; Strategic planning; Analytics; Information Fusion; Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2013 International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/CyberC.2013.33
  • Filename
    6685674