Within the construction industry as their overdraft

How Big Data And Analytics Are Transforming The Construction Industry

The cloud-based storage systems, which Dunn are now undergoing, put all of this data at the fingertips of anyone who needs it. Distributed storage systems mean the data can be added to almost infinitely, as fast as it can be collected, at minimal cost.

Project managers can quickly gain an overview of QA, safety, workforce and equipment data, simplifying the task of identifying risk and evaluating performance. Problems can be identified before they emerge, leading to large time and expense savings on remedial work.

External data plays a large part too, for example, meteorological reports. Weather conditions can delay building projects which inevitably leads to mounting expense. But by recording the actual effects of real-world weather and using this data to model the likely implications on current projects, more accurate assessments are possible.  As the larger projects can take several years to complete, economic and political activity is likely to affect labor and material costs – so this must also be taken account of.

 “The fundamental challenge of the industry has been to manage the many parties – architects, engineers, construction managers, sub-contractors, specialty tradesmen, owners – that are involved in the building process.

“Collecting, sharing understanding and using the data generated across these groups helps break down silos across the entire project team – it gets everyone on the same page and helps reduce risk.

“Ultimately data paired with advanced technology, specifically those that embrace collaboration in the cloud, offers an efficiency that reduces project delivery time and risk of errors, resulting in increased profit margins.”

An exciting development in the field of visualization is the emergence of AR (augmented reality) tools. While virtual reality tours of buildings before they are complete have been around for a while, AR takes things a step further. It means the user (e.g. a customer) can stand at the site at the commencement of the build, and through a headset see the entire finished project as it will look when it is completed, as a 3D virtual model overlaid against a real skyline. This tech is being trialed at the moment but will undoubtedly soon be tied to systems such as Dunn’s BIM platform. Small variables such as the placement of windows could be altered with the user immediately being shown a visual representation of how this will affect light in a room.

By 2030, the worldwide market for construction services is expected to grow by 85% to $15.5 trillion. This will present huge challenges, both in ensuring a sufficient supply of skilled labor and adopting new technologies to drive efficiency and innovation. Buildings are becoming bigger and more complex and a growing focus is being put on sustainability.

Big Data has the potential to provide solutions to all of these issues if the trend towards ongoing collaboration between the industry and tech development continues.

Over the next five years, Big Data and analytics will radically transform both the process of construction and the business of construction contracting. The future seems very bright for those companies which are able to embrace data analytics and new technology to innovate how we construct things.

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