Building Information Modeling (BIM) and BIG Data Analytics for Construction Industry
The construction industry suffers from inadequate data management of current and past projects. Since, many
projects result in problems such as exceeded budgets, time delays, quality problems, conflicts and missing data transfer
between stakeholders, Building Information Modeling (BIM) was adopted in the industry to overcome those problems. With
the help of BIM, information and analysis results of a project can be collected and used in various decision-making processes.
However, a BIM model that consists of semantic and geometric information needs to be integrated with other methods to both
manage and achieve necessary information without creating a software bottleneck. Besides, facility managers using BIM in
the operational phases of a project need to gather dynamic data that produces too much information. In this context, Big Data
Analytics has come into prominence to overcome the data volume, variety, and velocity in building the data resource for BIM
model. Thus, in this study it was aimed to make an in depth literature review to reveal the advantages and disadvantages of
BIM and Big Data Analytics integration.
Keywords - Building Information Modeling (BIM), BIG Data Analytics.