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Anomaly Detection

The company used Code Crafted to build an anomaly model to detect quality of service issues

Problem

Reduce churn by proactively reaching out to customers experiencing quality of service issues

processed user session data from 2.5M customers in real-time

Solution

Used Code Crafted's anomaly detection model to identify abnormalities in user session data

calibrated on 2+ TB of data and over 1Bn events

Results

Identified 12 types of service issues that could cause a customer to churn using three different methods

identified 12 types of service issues

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