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Assessing the Influence of Automated Data Analytics on Cost and Schedule Performance


Abstract This article assesses the combined influence of information integration and automated data analytics on project performance. To this end, retrospective data on 78 completed projects, with a total installed value of $8 billion, was collected. The data collection effort characterized, for each project, the level of internal and external information integration. Information integration was assessed as the seamlessly interoperable sharing of data produced from a work function with other functions/stakeholders so that no manual data transfer was required. Also, the level of automated data analytics, understood as the full automation of the data analysis function after input data are entered, was also characterized on a project basis. Then, non-p... (more)
Created Date 2015-10-27
Contributor Abbaszadegan, Amin (ASU author) / Grau, David (ASU author) / Ira A. Fulton Schools of Engineering / School of Sustainable Engineering and the Built Environment
Series PROCEDIA ENGINEERING
Type Text
Extent 4 pages
Language English
Identifier DOI: 10.1016/j.proeng.2015.10.047 / ISSN: 1877-7058
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Citation Abbaszadegan, A., & Grau, D. (2015). Assessing the Influence of Automated Data Analytics on Cost and Schedule Performance. Procedia Engineering, 123, 3-6. doi:10.1016/j.proeng.2015.10.047
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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