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data-anomaly-detector

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Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.

When to use

• Detect unusual costs
• Detect schedule variances
• Detect productivity spikes
• Identify cost overruns
• Identify schedule delays
• Identify productivity issues
• Identify data quality problems
• Detect data entry mistakes

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