Construction Collaborative Analytics™

Construction Collaborative Analytics™
in Capital Project Delivery Teams

In construction project delivery, Constructive Collaborative Analytics involves the collective analysis of both subjective and objective data and insights from key stakeholders within design and construction teams, enabling informed decision-making, planning efficiency, strategic communication, and overall project success.

The core principle of Construction Collaborative Analytics™ lies in its ability to bring together diverse expertise and perspectives, leveraging data-driven insights to inform critical decisions both before and throughout a project’s lifecycle. This collaborative framework involves owners, architects, engineers, contractors, project managers, and supporting key stakeholders working together seamlessly, facilitated by advanced analytics tools and technologies.

Since 2017, GCC has been collecting collaborative data on a monthly basis from capital delivery teams in healthcare, municipal, correctional, secondary and higher education, transportation and diplomatic markets informed by delivery teams working world-wide. This data includes subjective stakeholder insights in areas including risk, cost certainty, schedule duress, worker safety, quality performance, and work-related stress (Figure 1).

Figure 1 – Leveraging the data collected by our Construction Collaborative Analytics™ approach, a serious incident was predicted by our facilitation team and communicated to the client days before a project Lost Time Incident was experienced.

Key Components:

  1. Data Integration – Construction Collaborative Analytics™ relies on the integration of data from multiple sources, including objective data (e.g., project plans, schedules, budgetary information, and performance metrics) combined with subjective data (e.g., subjective data on quality, safety performance, schedule certainty, budget duress, etc.). This consolidated data, when combined with data visualization post-processing, serves as the foundation for informed strategic decision-making.

  2. Real-time Communication and Collaboration – The implementation of Construction Collaborative Analytics™ promotes real-time communication among team members. Through shared dashboards and data visualization, stakeholders can exchange insights, address issues promptly, and collectively respond to evolving project dynamics over single project, similar facilities, or geographical regions.

  3. Predictive Analytics for Risk Management – Construction Collaborative Analytics™ can be utilized to perform predictive modeling to assess potential risks and challenges associated with future construction projects. By analyzing historical data and current trends, teams can collaboratively identify and mitigate risks, ensuring smoother project planning and delivery.

  4. Performance Monitoring and Continuous Improvement – Through near real-time monitoring of project performance metrics, along with data-visualization enabled dashboards, teams can identify areas for improvement and implement corrective measures promptly. This iterative process fosters a culture of continuous improvement, enhancing overall project delivery outcomes.


Informed Planning and Decision-Making – Construction Collaborative Analytics™ empowers construction project teams with data-driven insights, facilitating more informed planning and strategic decision-making at every stage of the project.

Data Driven Risk Management – By combining and correlating both objective and subjective data, Construction Collaborative Analytics™ contributes to the development of risk mitigation actions within construction project delivery teams, including risks to cost, safety, schedule, quality and work-related stress (Figure 2).

Figure 2 – CMAA Interactive Survey, Washington DC, 2023 (GSA, VA CFM, Dept. of State, Architect of the Capitol, Smithsonian Institution)