Big Data has a Crucial Role in the Construction Industry

By CIOReview | Monday, March 18, 2019

The construction industry values big data analytics as it is crucial for business success. Big data helps the construction companies make better decisions as accurate analysis leads to the practical building project conclusions.

The construction sector is building big data practice that helps in promoting and growing the business:

Predicting market trends is one of the most fundamental uses of big data. The predictive analytics takes a turn for better large quantities of data providing a better estimation.

When the business is in need to create optimized workflow, big data allows enterprises to improve their work processes by keeping the track records, facilitates data analysis and also caters to improvement.

Businesses can monitor time and avoid delays with project management software that processes data in real-time. According to an industrial source, 60 percent of each workday, data managers spend on finding and managing data.

With geo-location services, the company allows workers to keep track of machinery and monitor the usage of available resources. The technology of big data provides construction companies the opportunities to remove a decades-long image of a slow industry replacing it with fast and efficient work processes.

Better planning leads to improved budget estimation. It also enables a superior understanding of costs and timelines. The big data tech is creating powerful managers that use the tools of big data very skillfully giving more insights that are very valuable for contractors and managers.

The big data sets can include building designs, environmental data, stakeholder input, and social media discussions which determine what to build as well as how to build it. Weather, traffic, community and business activity can be analyzed with big data to determine optimal phasing of construction activities.

The sensors built into buildings, bridges and any other construction with big data make it possible to monitor many levels of performance. The data that is stored and analyzed by big data is also fed back into BIM (Building Information Modeling) systems to schedule maintenance activities as required.