Harnessing Project Data for Enhanced Decision Making in the AEC Industry

In the architecture, engineering, and construction (AEC) industry, collaboration and iterative design processes generate vast amounts of data for each drawing, model, and workflow. With legacy workflows and file-based applications like Revit software, this critical data remains uncollected and underused, not fully using AI-powered predictions and informed decision making. This course will address the challenge IMEG Corp. encountered when using untapped data for decision making through the AEC Data Model API. We will explore how AEC Data Model enables cloud-based workflows that allow reading, writing, and extending model subsets without the need for desktop application plug-ins. Participants will learn techniques for identifying data resources, executing robust data extraction, and assessing data quality using GraphQL. And we'll go into detailed strategies for integrating data insights into daily workflows with tools like Power BI, enhancing AEC firms at the forefront of digital transformation.