PROJECT INTEL

Like any other industry in the construction company, big data refers to a huge quantity of information. They were collected in the past and continue to be acquired till date. This article is all about the concept of big data clearly. People, computers, machines, sensors, and any other data-generating device or agent work to collect the big data in construction . This is how it becomes big. Construction and building big data are already available in various plans and records of anything constructed in the past. The data is also constantly increasing with additional input from various sources. Traditional information systems can very well make a record  of basic information about the project.  The purpose of accumulating big data is to get more insights and to make better decisions in construction management. In order to achieve this only accessing more data is not enough but thoroughly analyzing is also necessary to make the practical  building project conclusions. Along with the build

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