3 Ways Big Data Helps The Civil Engineering Industry

In recent times, Big Data has become an integral part of all industries and the advent of the digital age has spurred its growth. We take a look at how big data and analytics are essential to transforming the construction industry. With tools like management software, BIM, and real-time data analysis, big data has revolutionized the fundamental methodology of the construction industry for the better.

The construction industry has a lot to gain from embracing big data because the industry uses a large amount of data. Thus, professionals in the construction industry can develop for a successful career by learning Big Data. Several courses merge big data and civil engineering to enable professionals to use the best of both fields in creating world-class construction projects. Professionals can learn big data analytics while taking courses like MS in Civil Engineering of institutes reputed as INSOFE

If you are still unfamiliar with the wonders of big data analytics and its application in the construction industry, here we discuss the three ways big data helps the civil engineering industry.

  • Help with data collection in the field:

Collecting field data is a big hurdle for many construction projects in the 21st century. Some civil engineering organizations still use paper forms and clipboards to record field data. However, as the size of the project increases, so does the amount of field data. Modern construction projects are very complex, which makes collecting data in the field a more difficult task.

By shifting data collection to digital methods, the civil engineering industry can collect data quickly and in a more structured way. Thus, engineering companies save money, human hours and other valuable resources by using big data.

Big data also helps civil engineers to effectively separate and organize data while collecting it. Systematic categorization of field data makes it easier for engineers to formulate their plans. Civil engineers no longer have to spend countless hours processing field data, because big data takes care of this mundane task.

  1. Predict and proceed:

Predictive analytics is a very useful tool for civil engineers. It helps to assess and improvise on Work Breakdown Structures (WBS). This makes it easier to match the right people to the right tasks at the right time. Predictive analytics divides each job into individual job batches. By breaking down the tasks, civil engineers can effectively map expectations and have quick implementation. In addition, previous WBSs and project documentation go a long way in recognizing obstacles and wrong steps. It also helps create corrective actions by measuring skills deployed against work performed and critical project tasks against deadlines. Predictive analysis is also beneficial in the learning and development aspect of civil engineering. Big data analytics has facilitated the development of learning programs that help develop staff without compromising BAU’s business. Often construction projects are delayed due to misallocation of resources. However, advanced analysis allows construction companies to have profitable resource allocation and delegation of work. Thus, the use of big data analysis increases the chances of approval of design recommendations.

  1. BIM and Big Data integration:

The BIM technology tool has made the construction industry more economically and environmentally sustainable by improving energy efficiency in construction. With BIM, contractors can visualize every step of the construction process that streamlines the process and reduces waste.

Big data predictive technology is at the heart of BIM. It helps to create a more durable construction. Using BIM, a subcontractor can use data from past construction projects to estimate how much he needs of a specific material for future projects with precision based on various variables. The visualization capability, enhanced by BIM, saves time, labor and materials on a project.

The Boston Consulting Group study found that digitizing the building industry using BIM to perform building-scale energy analysis can save energy costs up to 20%. Construction companies can save more on costs when renovating older buildings due to their traditionally energy inefficient nature. BIM energy analysis helps civil engineers improve the energy efficiency of construction projects and reduce material waste. Thus, BIM benefits all stakeholders by creating a more sustainable environment.