A.McAfee

B.Inmon

B.Reich

C.Varun

D. S.Cristea

D.Prado

E.Turban

G. L.Jamil

H.Chen

H.Mintzberg

I.Nonaka

J.Jeston

L.Cao

M. J.Berry

M.Chau

M.Porter

P.Kotler

P.Wooliscroft

R. R.Landaetta

R.Kaplan

R.Kimball

R.Stair

T. D.Clark

T. H.Davenport

Knowledge generation for Project Management (PM) is a critical modern issue. Projects are a complex, inter-related set of tasks that aim to provide a service or product in a controlled, managed way. In these scenarios, there is a continuous producing of data and information, which is a potential situation for Knowledge Management (KM) interaction. This chapter evaluates aspects and factors on how it is possible to process data and information, in order to generate applicable knowledge to improve project management. A specific consideration is to understand the observation of contexts of huge amounts of data—known nowadays as Big Data—and its potential knowledge generation for project management, as presented in the final study case. A better comprehension on how knowledge management practices, applied to Big Data contexts, can improve project management processes is the main objective in this chapter. </jats:p

George Leal Jamil

Luiz Fernando Magalhães Carvalho

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Perspectives of Big Data Analysis for Knowledge Generation in Project Management Contexts

Perspectives of Big Data Analysis for Knowledge Generation in Project Management Contexts

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