PROJECT INTEL

Any vast or complex set of data that requires advanced analytics techniques to analyse and manage is referred to as "big data." This big data can be gathered from a variety of structured and unstructured sources, including cameras, sensors, mobile devices, and log files. In the UAE , by analysing big data the construction companies can enhance output, leverage predictability, maintain a safe workforce, and reduce waste. Big data analysis technologies are increasingly being used by construction companies in the UAE because of the following reasons- Big data analytics technologies are used to extract information from massive data archives and make it accessible to everyone involved in the construction process. Big data analysis also enables more precise material, labour, and machinery cost estimations, lowering the danger of going over budget later on. Contractors, architects, and other team members can generate digital models and anticipate future difficulties using data-dr

In recent decades, large-scale urbanisation has occurred in all big economies, with massive infrastructure development in sectors like real estate, education, healthcare and transportation.  The construction industry generates vast quantities of data every day. Massive data files of everything from designs and building models to communications and cost estimates continue to fill up as the business grows. Unfortunately, without the right tools, these repositories tend to be disorganised and difficult to manage. That is why the big data analytics tools in the construction industry to harness big data are so important. What is Big Data, exactly? "Big data" refers to any large or intricate set of data that requires advanced analytics tools to analyse and manage. This information can come from a range of unstructured as well as organised sources, such as sensors, cameras, mobile devices, and log files. Big data is being used at every stage of the construction process to increase