The incorporation of big data technology is empowering the construction sector to extract power from data and bolster their capabilities.
FREMONT, CA: The construction industry, like all other sectors, is facing multiple challenges in managing the vast quantities of information generated from people, computers, machines, sensors, and other mobile devices. It has led the development of big data in project plans and records, which comprise information on every aspect of construction.
The market for big data and business analytics is expected to cross $180 billion by the end of 2019. The incorporation of big data technology will enable big and small business organizations to uncover new opportunities, reach cost-effectiveness, and achieve efficiency in decision-making.
Business analytics technology allows enterprises to analyze vast amounts of data and identify patterns that might help them in strengthening their strategies. It enables them to track the projects and make the necessary changes to meet the deadlines. Big data systems can aid the project managers in assessing customer interactions and leverage the insights to make significant changes.
The conventional information systems are efficient in processing structured information such as project schedules, design data, costs, invoices, and employee details. However, their limitations become evident when working with unstructured data, including free text, printed information, and sensor readings.
Construction companies can strengthen their capabilities by harnessing big data. The insights drawn from the unstructured data will not only help them in making better decisions but also in bringing greater efficiency into their processes.
Data mining technology empowers project managers to sift through vast troves of information in short periods. By identifying the trends in data, project managers can bolster their corporate decisions and develop successful projects. Data mining allows organizations to comprehend internet traffic, environmental data, and internal organizational systems, leading to better decisions and profits.
Big data techniques are being employed by organizations in the construction industry to enhance their design-build-operate lifecycle. By leveraging the data regarding building design, modeling, environment, stakeholder input, and social media, companies can improve their designs. For instance, universities are utilizing big data analysis to determine the optimal location to maximize their benefits and reduce infrastructural risks.
The analysis of big data from weather, traffic, and community can be leveraged to develop insights that can determine the optimal phasing of construction activities. Big data has simplified monitoring across large and complex construction sites. The equipment used at the construction sites can be fitted with robust sensors to gather data, which will not only facilitate cost-effectiveness but will also enhance efficiency. The incorporation of sensors makes it possible for construction companies to monitor the performance of their projects. It includes energy conservation capabilities in buildings, traffic stress on bridges and roads, and so on.
Big data can take the industry toward intelligent construction, bringing efficiency and performance into the entire lifecycle of the projects. It can generate robust insights into costs, designs, and processes, empowering enterprises to develop intelligent, efficient, and sustainable construction management solutions.
Construction companies can achieve the integration of multiple segments such as computer-aided facility management (CAFM), building information modeling (BIM), and integrated building control and monitoring systems (BCMS). The insights can be used to bolster decision-making, technical innovation, and training programs.
By identifying the nodes in the data, the companies can effectively design social media campaigns, choose brand ambassadors, and select middle managers. It can be used to analyze response and engagement rates for emails and social media messages and tailor the delivery time accordingly.
Big data analytics offers greater opportunities for the construction sector to enhance their capabilities in the design, development, and management of complex projects. It promises higher levels of accuracy and certainty in the generation of status reports and forecasts. The incorporation of sensor technology with big data systems also enables organizations to conduct predictive maintenance.