Data Anomaly Detector for Construction

Overview

Detect unusual patterns, outliers, and anomalies in construction data. Identify cost overruns, schedule delays, productivity issues, and data quality problems before they impact projects.

Business Case

Construction data often contains anomalies that indicate:

• Cost estimate errors or fraud
• Schedule logic issues
• Productivity problems
• Data entry mistakes
• Equipment or material issues

Early detection prevents costly corrections and project delays.

Technical Implementation