Predictive Analytics
The use of historical data, statistical algorithms, and machine learning to forecast future outcomes. In construction, predictive analytics can identify schedule risks, cost overruns, and safety hazards before they occur.
Why It Matters in Construction
Predictive analytics only works with clean, consistent, structured data. Companies that skip workflow-first data collection cannot use predictive tools effectively because their data is incomplete and inconsistent.
Common Examples
- Analyzing historical daily logs to predict weather-related delays for similar project types.
- Using cost data from completed projects to forecast budgets for new bids.
- Identifying subcontractors with patterns of late deliveries or quality issues.