Big Data
AUC's Big Data platform recommends various products by analyzing ❶customer characteristic analysis and ❷reliability of financial activities through information such as transaction history and balance of on/offline customers. It is also a platform that provides customized marketing information through product information and customer characteristic analysis.
Information Crawling
Crawling customer transaction information
Crawling product information
Customer Recommendation Information Advanced Project uses the TIER service to analyze user data collected from activities such as payments and transactions to provide customers with personalized product recommendations and usage pattern analysis.
Merchant and Bank Recommendation Information For Merchants, Advanced Project provides statistical analysis of user payments, such as gender, age, and purchase amounts, to help them understand what types of customers they have and offer promotions and coupons to build customer loyalty. For banks, Advanced Project offers personalized financial product recommendation services through the analysis of user payment histories, balances, and other data.
Customer Credit Rating Calculation Using big data such as average balances, deposit amounts, and usage locations, Advanced Project conducts its own credit rating evaluation to provide users with their credit scores.
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