Challenges
Extremely large data – Over 2.5 million records
Data inconsistencies
Traffic variation at different time of the day
To develop a score of the customer quality of experience (QoE) based on objective factors such as such as number of stalls, frame drops, ghost sessions, and play delay for an internet video service provider
Applied Principal Component Analysis (PCA) technique to build models for scoring
Developed 4 different models using different variable transformation techniques
Scored 8,800 records/sec
Principal Component Analysis
Telecom
Scoring
India
Extremely large data – Over 2.5 million records
Data inconsistencies
Traffic variation at different time of the day