Major capital projects are unique and incredibly complex undertakings. However, when it comes to bringing together the most critical element of a project’s success—the project team—too much often is left to chance or intuition. With machine learning and a small data-driven approach, teams can be assembled using an algorithmic analysis that uncovers hidden meaning in project data. The result: dramatically improved project cost, schedule and safety performance.
Enstoa’s acquisition of designtech creates new efficiencies in evaluating development projects
When pundits discuss the booming U.S. economy, there is one sector that is often considered a problem child — construction and development.
Due to a variety of factors — including workforce shortages, lack of capital and failure to integrate technology into their processes — developers often seem to struggle to meet the needs of the market on both the residential and commercial building sides.
Michael Matthews is vice president of strategy and consulting at Enstoa, a global professional services firm that specializes in capital projects improvement. Healthcare and education are among the industries in which they focus their efforts.
