Case Study: Tien Phong Commercial Joint Stock Bank (TPBank) achieves greater operational efficiency and higher conversion rates with IBM Cloud Pak for Data and IBM Watson

TPBank enhances internal efficiency to maximize business benefits

Tien Phong Commercial Joint Stock Bank (TPBank), one of Vietnam’s leading digital banks, had to modernize its data infrastructure and improve the performance of its transaction channels to better serve 12 million customers. Using IBM Cloud Pak for Data and IBM Watson tools, TPBank also aimed to accelerate machine learning development and support broader AI adoption across the business.

IBM helped TPBank build and deploy credit card propensity models with Watson Studio, Watson Machine Learning, and Watson Pipelines, streamlining the process from data preparation to deployment. The results included a 30% to 40% reduction in model development and operations time, a cut in deployment time from 36 to 30 working days, and a 24% increase in credit card conversion rate.

Tien Phong Commercial Joint Stock Bank (TPBank)