Gina discusses a predictive analytics model that analyzes 250 data points from the software development industry to identify why projects fail. Key factors include schedule overruns, budget issues, and insufficient stakeholder support. By understanding these failure points, teams can develop effective mitigation strategies to steer projects back on track.
