Big data in the management of engineering works – the importance and benefits of data analysis in civil construction

In construction and engineering, as in other sectors, big data refers to the huge amounts of information that were stored in the past and that continue to be acquired today. Big data can come from people, computers, machines, sensors and any other data generating device or agent.

Read also

• Walmart announced an investment of BRL 1,2 billion over the next 18 months in Brazil
• Offshore ROV vacancies for professionals in Rio de Janeiro
• CSN Volta Redonda in partnership with Senai opens 178 vacancies for the Young Apprentice course on this day, 20
• CPFL, a company that generates electricity from renewable sources, is hiring for jobs in São Paulo
• National Petroleum Agency receives new declarations of interest for the auction

The value of data in engineering and construction

Artificial intelligence, internet of things and BIM. All these major technological trends have revolutionized the civil construction market and have a common background: big data. This is because they feed on data to generate information that brings more security, transparency and efficiency to engineering and construction processes – from the office to the construction site.

Therefore, creating well-established processes to collect, store and use data strategically in engineering and civil construction is the first step to keep up with technological trends and market transformations. In addition, including big data analysis in construction management is crucial to prepare companies in the civil construction sector for the future and ensure that they remain competitive in the market.

Thus, there is no point, for example, investing in BIM platforms and artificial intelligence tools if your engineering company does not have the necessary information to make these technologies reach their full potential.

Why can Big Data be useful in civil construction?

Civil construction is one of the main economic activities in Brazil, but it could have much better results if waste were reduced and productivity increased.

Common problems in the sector, such as waste of materials, delays in works and lack of budget control can be solved with the use of technology. Data can help managers find the roots of problems and make more assertive decisions.

If done manually, analyzes can be time-consuming and unproductive, but with the use of Analytics software and tools, it is possible to use them intelligently.