The application of Big Data technology to improve the information sharing and enhance the decision-making process in construction projects
Examensarbete för masterexamen
Construction joint-ventures projects suffer from difficulties in information sharing due to data fragmentation, the usage of different information sharing systems, and the temporary nature of projects, which hinders long-term investments in better systems, and the cultural and organizational differences between joint-ventures entities. These difficulties have a negative effect on the decision-making process. The aim of this study is to investigate if the application of Big Data technology can enhance information sharing and improve decision making by studying a construction joint-venture project in Sweden. To achieve this aim, a literature review was conducted to investigate the difficulties in the theoretical part, and a model based on Big Data software was created and used for data preparation, data linking, data analysis, and data visualization. The model was linked to different data sources on the cloud, and the results are published online to the concerned stakeholders to solve four major issues related to information sharing in the project. These issues were: providing and visualize construction costs details to the construction team, calculate and visualize cost performance index CPI to executive management, show details of payments certificates and budget to design team, and lastly matching list of invoices in the ERP system with a list that is sent to the client. The four issues were solved using the Big Data software, and four online dashboards were presented to the concerned stakeholders that were interviewed later. The interviews’ results showed enhancement in information sharing in which most interviewees agreed that the presented dashboards helped to understand the status of the project/package and reduced the effect of the organizational and cultural differences in the joint venture. The results also showed improvement in decision-making, but the middle-level decision-makers that make tactical decisions benefited more from the presented dashboards than the high-level decision-makers that make more strategic decisions.
Big Data , Decision-making , information sharing , Visualization , Dashboards