Türkiye Finans Katılım Bankası (TKFB) stands as one of Turkey’s leading participation banks, adhering to Islamic finance principles. With a network of 224 branches, the bank provides comprehensive services to retail, commercial, and corporate clients, including e-participation accounts, foreign currency transactions, and Sharia-compliant financing through Islamic contracts.
TKFB was looking to improve the development of its behavioral segmentation, propensity-to-buy and churn models for its retail portfolios. The bank was already managing a large number of models and needed a way to develop new models in faster cycles, while also updating existing models and continuously monitoring model performance.
This situation was particularly challenging due to the bank’s lengthy model delivery cycles, which meant that models could not always be kept up to date.
TKFB aimed to enhance its segmentation, propensity-to-buy, and churn models for retail portfolios. With a large volume of models already in use, the bank sought faster development cycles for new models, as well as efficient updates and ongoing performance monitoring for existing ones. However, lengthy delivery timelines made it difficult to keep these models current, presenting a significant challenge for the bank.
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