Data analytics in managing projects

Eleni Papadonikolaki, Carlos Galera-Zarco

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

Abstract

In today’s society, project work gains traction across many industries. As projects are characterised by novelty and uncertainty, emerging digital technologies promise solutions that improve performance and help deliver full benefits. Amidst this digitisation, digital technologies such as data analytics and Artificial Intelligence (AI) streamline the large amount of data generated. However, this critical information is only partially leveraged during and after projects to date. Project data are generated, collected, and analysed across all stages of project management and delivery. Eleni Papadonikolaki and Carlos Galera-Zarco conceptualise the relation between projects, information, and data, and discuss key application areas of data analytics in projects, for instance in scheduling and costing. Next, they present the state-of-the-art applications, means, and tools of data analytics in key areas of project management. Finally, they set out challenges and future opportunities around project data analytics especially with regard to leadership, teamwork, and talent management.
Original languageEnglish
Title of host publicationThe Handbook of Project Management
EditorsMartina Huemann, Rodney Turner
Place of PublicationLondon
PublisherRoutledge - Taylor & Francis Group
Chapter14
Number of pages16
Edition6
ISBN (Electronic)9781003274179
Publication statusPublished - 2024

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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