J. A. Amorim, S. F. Andler, Per M. Gustavsson, O. L. Agostinho
{"title":"Big Data Analytics in the Public Sector: Improving the Strategic Planning in World Class Universities","authors":"J. A. Amorim, S. F. Andler, Per M. Gustavsson, O. L. Agostinho","doi":"10.1109/CyberC.2013.33","DOIUrl":null,"url":null,"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.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberC.2013.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
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.