Don't Overlook BIM's Potential in Construction Logistics

Jason Janning, Senior Vice President and General Manager, Hilti

Don't Overlook BIM's Potential in Construction Logistics

The Case for BIM in Facade Design

Davide Mangini, Senior Vice President, General Manager and Srinidhi Murali, Sr. Building Information Leader, Permasteelisa North America

The Case for BIM in Facade Design

The Pivotal Role of BIM in the Construction Industry

Jeff Buckley, BIM Program Manager, Aldridge PreFab

The Pivotal Role of BIM in the Construction Industry

Don't Overlook BIM's Potential in Construction Logistics

Jason Janning, Senior Vice President and General Manager, Hilti

Don't Overlook BIM's Potential in Construction Logistics

How can Data Analytics Make BIM More Valuable?

Construction Tech Review | Monday, November 02, 2020

How can Data Analytics Make BIM More Valuable?

Building and infrastructure owners and operators must use data analytics tools to unleash their building information models' full potential.

FREMONT, CA: As the construction industry undergoes a profound shift with Building Information Modeling (BIM), it seems the right time to properly re-structure the inherent processes to promote a new wave of innovation. To harness digital information from each project into business value, the construction industry must borrow solutions from computational fields like data analytics. They will offer a guide to the development, and transformation of the current BIM processes, with the ability to develop new tools and automation of many operations. If BIM could take advantage of data analytics, it will dramatically transform the construction industry. Read more here.

Unstructured data is a significant setback to any big data analytics application. The construction industry generates a large amount of data from spatial data from drones and LiDAR and non-spatial data from project documents, plans, RFIs, change orders, and meeting notes. These vast data need to be structured with an apt infrastructure to store, curate, and validate them. Turning big data into actionable insights through BIM provides an efficiency that mitigates project delivery time, and the risk of errors will result in increased profit margins.

Project owners often receive models from several designers in various formats, and there are usually clashes that must be resolved. Traditionally, this can take days for specialist BIM teams to analyze. With access to artificial intelligence tools powered by machine learning, manually extracting and interpreting data should be remediated. These digital tools enable teams to be more efficient and spend less time gathering data, increasing efficiency and accuracy while freeing up BIM professionals to offer genuine insights and advice.

The larger, the more complex projects are and the bigger the chances that inadvertent and unnecessary duplication of orders are made for building materials and labor. Only effective supply management can lead to significant cost savings. BIM analytics makes it easier to monitor quantities of building materials to optimize procurement and delivery schedules, all from the comfort of a site office or a mobile device.  Model analytics charts and graphs make it seamless to track quantities, with all suppliers and disciplines captured in a fully configurable dashboard.

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