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2019 | OriginalPaper | Chapter

Evaluation Metrics for Big Data Project Management

Authors : Munir Ahmad Saeed, Mohiuddin Ahmed

Published in: Smart Grid and Internet of Things

Publisher: Springer International Publishing

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Abstract

In this paper, we investigated the current scenario of big data project management followed by success criteria. Our research found that, the evaluation metrics are generic and no universal metric available for the big data projects. Therefore, we have proposed few evaluation metrics suitable for big data projects.

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previous chapter A Multi-factor Authentication Method for Security of Online Examinations
Literature
1.
Raymond, Y., Simon, P.: Top management support-almost always necessary and sometimes sufficient for success: findings from a fuzzy set analysis. Int. J. Proj. Manage. 31(7), 943–957 (2013)CrossRef
2.
Atkinson, R.: Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. Int. J. Proj. Manage. 17(6), 337–342 (1999)CrossRef
3.
Dragon, M., Peerasit, P.: Standardized project management may increase development projects success. Int. J. Proj. Manage. 23(3), 181–192 (2005)CrossRef
4.
Pinto, J.K., Slevin, D.P.: Critical success factors across the project life cycle: definitions and measurement techniques. Proj. Manage. J. 19(3), 67–75 (1988)
5.
Freeman, M., Beale, P.: Measuring project success. Proj. Manage. J. 23(1), 8–17 (1992)
Metadata
Title
Evaluation Metrics for Big Data Project Management
Authors
Munir Ahmad Saeed
Mohiuddin Ahmed
Copyright Year
2019
Book
Smart Grid and Internet of Things

Print ISBN: 978-3-030-05927-9

Electronic ISBN: 978-3-030-05928-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-05928-6_14

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