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In cloud computing, managing the vast amounts of data created by construction projects is challenging. The cloud cannot support peak data loads, and the owner has no control over the security of the data that is being stored. This creates a need to assess cloud data management in the construction industry as construction companies become reluctant to put confidential and critical data in the cloud. This study aims to create awareness among construction professionals about how cloud data management can be improved. Cloud computing technology can improve collaboration between project stakeholders and solve issues of enormous amounts of data generated by these projects. Hence, this study aims to identify the types of cloud data management services used, challenges to the usage of cloud data management, drivers of cloud data management usage, critical success factors of cloud data management, and strategies required to implement successful cloud data management in the SACI.
Sharfuddin Ahmed Khan
University of Johannesburg
Engineering
Education
University of Regina
Globalink Research Award
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