Description
Across the construction industry, with its project-oriented and multistakeholder nature, silos of disconnected, critical data sets stymie efforts for using technology that can drive optimal decision making and execution. As a result, many of today's sophisticated tools that address specific project phases, workflows, and stakeholder needs have been built to work in isolation. This reinforces the siloed data sets that prevent the industry from making big leaps in technology-driven value realization. Taking a practical, evolutionary approach to solving this is critical. And no, even generative AI cannot just magically solve this problem. As one of the largest general contractors in the country, DPR Construction has experienced firsthand the pain of siloed data sets. Through pilot projects and experimentation, several practical solutions have begun to surface, and sharing them may increase industry-wide scaling.
Key Learnings
- Discover root causes of why data silos continue to exist in the construction industry.
- Learn about addressing data challenges in your specific business environment and technology landscape.
- Learn about designing and defining a strategy and approach to start addressing data silos in your organization.