09 // CASE STUDIES

Data Lab

Project Management Predictive Analytics

Project Management Predictive Analytics

The Challenge

Delays and unbudgeted changes cost construction projects and developers in multiple ways.

Our Solution

We developed a machine learning model that analyses historical project performance and real-time site data to predict Schedule Variance and Cost Variance.

Key Outcomes

Early warning systems allow project managers to mitigate risks before they impact the critical path or calculate Variation Orders with appropriate parties, mitigating the 'shock factor'.

Who benefits?

  • Executive Leadership
  • Finance and Risk
  • Project Management Office

Cost savings

  • Root cause analysis for delays
  • Reduced variation orders
  • Compliance coverage checks
  • Typical outcome: 97% success rate of detecting tasks that are going to be delayed in the future.

Time savings

  • Reduction in project delays
  • Identification of problem areas
  • Time to resolution slashed
  • Typical outcome: 30-50% time reduction in overall project timelines

Our People involved

Joshua Heckroodt

Joshua Heckroodt

Data Scientist & Software Engineer

Gavin Britton

Gavin Britton

Co-founder & CEO

Mark Collin

Mark Collin

Co-founder & CTO