Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/67831

TítuloWhy Big Data? Towards a project assessment framework
Autor(es)Portela, Filipe
Lima, Luciana
Santos, Manuel
Palavras-chaveBig Data
Framework
Project Assessment. BigDAF
Big DAF
Project Assessment
Data2016
EditoraElsevier Science BV
RevistaProcedia Computer Science
Resumo(s)Technological evolution and consequent increasing of society and organization information dependency was an important driver to escalation of data volume and variety. At same time, market evolution requires capability to find new paths to improve products/services, client satisfaction and to avoid cost increase associated with it. The relevance of using Big Data for different industries and knowing how to implement it, is something that raises many doubts and discussion. In a Big Data context it is important to evaluate organization needs and understanding if those needs are satisfied with Big Data capabilities, i.e., if they really need Big Data. For that reason, this paper presents a framework, namely BigDAF, capable of measuring a technological/business problem in a Big Data spectrum. This framework aims to help organizations and researchers to understand, not only the meaning of Big Data issue, but also the key factors that determines the necessity of a "Big Data investment". The framework assessment was applied using three case studies.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/67831
DOI10.1016/j.procs.2016.09.094
ISSN1877-0509
Versão da editorahttps://www.sciencedirect.com/science/article/pii/S1877050916322396
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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