A large national construction company was experiencing a loss of tens of millions of dollars of profit annually in some of their projects. Their objective was to use data and analytics to:
- Identify the projects most at risk for profit erosion, not only as the project progressed, but also prior to deciding on terms of the bid;
- Quantify risk factors to better understand them and focus on the most important, actionable issues.
The company had previously created a simple risk index and established seven Critical Success Factors thought to be associated with project profitability.