TY - JOUR
T1 - Assessing the Influence of Automated Data Analytics on Cost and Schedule Performance
AU - Abbaszadegan, Amin
AU - Grau Torrent, David
N1 - Publisher Copyright:
© 2015 The Authors. Published by Elsevier Ltd.
PY - 2015
Y1 - 2015
N2 - 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-parametric statistical techniques were used to assess the impact of such functions on cost and schedule performance. The statistical analysis was also stratified by project type, e.g. greenfield and brownfield, additions, and modifications or shutdowns. Overall, projects with a sophisticated degree of information integration and automated data analytics can control their projects with more reliable information and in a proactive manner so that informed decisions can be timely made on behalf of the project and the organization.
AB - 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-parametric statistical techniques were used to assess the impact of such functions on cost and schedule performance. The statistical analysis was also stratified by project type, e.g. greenfield and brownfield, additions, and modifications or shutdowns. Overall, projects with a sophisticated degree of information integration and automated data analytics can control their projects with more reliable information and in a proactive manner so that informed decisions can be timely made on behalf of the project and the organization.
KW - automated analytics
KW - controls
KW - cost
KW - information
KW - information integration
KW - project performance
KW - schedule
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U2 - 10.1016/j.proeng.2015.10.047
DO - 10.1016/j.proeng.2015.10.047
M3 - Conference article
AN - SCOPUS:84953266841
SN - 1877-7058
VL - 123
SP - 3
EP - 6
JO - Procedia Engineering
JF - Procedia Engineering
T2 - 4th Creative Construction Conference, CCC 2015
Y2 - 21 June 2015 through 24 June 2015
ER -