Data analytics in managing projects

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.