Even though transactional data offers rich and detailed insights into customers’ financial behavior, it also has challenges. Efficient categorization is one of the main ones.
Transactions with unclear descriptions, such as “Lanchonete da Esquina Ltda.” or “Supermercado João,” make it difficult to classify them into useful categories, such as food or retail.
Without standardization, credit models lose the ability to bulgaria mobile database relevant insights. Implementing automatic categorization systems and using artificial intelligence are effective solutions to overcome this obstacle.
These features allow you to organize large volumes of transactional data in a structured way, offering consistent information for more robust analyses.