Argyle Data’s predictive analytics solutions use supervised and unsupervised machine learning and neural network architectures to provide operators with unprecedented capabilities to detect and prevent high-value subscription fraud scams, crack down on dealer/SIM fraud, and accurately predict the creditworthiness of new subscribers.
Benefits of Argyle Data over traditional systems:
Existing customer qualification solutions allow too many bad risk subscribers to slip through the net. Credit checking services have limited insights into customer credibility, and most operator solutions are neither systematic nor automatic. Argyle Data’s application works in real time to enrich the credit rating process, identify fraud and provide an accurate, instant platform for distinguishing high-risk applicants from genuine customers.
- Supervised + unsupervised machine learning delivers previously unachievable levels of detection, prevention, and prediction
- New visibility into evolving fraud methods
- Exponential reduction in bad debt, subscriber fraud, and ‘Never Pay’