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
Link To Document