The construction industry is considered and categorized as one of the biggest and most expensive projects. It consists of huge amount of resources and work which also generated big volumes of data. It is a costly and time-consuming process which average profit margins per layer are relatively narrow, that’s why every saving measure counts, including using technology, let’s say IoT and Big Data Analytics, as a strategic tools to analyze multi-faceted building process in order to enable better planning, executing, monitoring and controlling the project, including increasing more potential benefits while optimizing our risk management processes to be more predictive and also better way in optimizing the resources.
- Caterpillar: using big data analytics of the equipment the job-site, improving business processes and the bottom-line;
- Tyrens AB: improves working environments and cut costs by analyzing data from 1,000 sensors, real-time asset management, and BIM;
- JE DUNN: build systems allowing real-time, data driven predictive modeling, to develop custom visualization technology in order to see the big picture