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ANOMALY DETECTION
A popular satellite television company
The company used Abacus.AI 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
Solution
Used Abacus.AI anomaly detection model to identify abnormalities in user session data
Results
Identified 12 types of service issues that could cause a customer to churn using 3 different methods
Processed user session data from 2.5M customers in real time
Calibrated on 2+ TB of data and over 1Bn events
Identified 12 types of service issues
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