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Paper Analytics by deerlatouati is a document available to read on EtoBox.

This research article investigates predictive analytics in the prepaid mobile services sector, focusing on two use cases: predicting customer top-up propensity and account balances prior to top-ups. Utilizing Deep Learning techniques, the study demonstrates that the developed Deep Neural Network models outperform existing Machine Learning models in accuracy, providing valuable insights for telco operators to enhance marketing strategies. The findings highlight the importance of accurate predictions in optim

Author
deerlatouati
Language
EN