Data-Driven Construction Decisions
Using AI and analytics to make better decisions in construction projects.
Definition
Data-Driven Construction Decisions refers to using artificial intelligence and analytics to inform decisions throughout the construction project lifecycle. AI can analyze historical data, current project status, market conditions, and predictive models to recommend actions that improve outcomes. Data-driven decision making replaces gut feelings and assumptions with evidence-based insights, leading to better project performance.
Examples
Using historical data to predict realistic project durations
Analyzing subcontractor performance data to inform selection
Tracking KPIs to identify projects needing intervention
Related Use Cases
AI with Project Data
Works With
Related Terms
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