3LOQ’s algorithm automatically categorizes transaction data into structured data sets, resulting in massive time and resource savings for banks and financial institutions. The algorithm processes transaction descriptions to create a taxonomy, which is curated to contextualize & classify transactions into the correct category, sub-category, channel and platform. The curation process also takes into account external data (in partnership with Google) to accurately assign meaning to the transactions.
Benefit from significant time and resource savings
Access a visual dashboard of distributed transaction data
Generate static and dynamic views of customers via transaction data analytics
Conduct timeline analysis of customers via their transaction data
Achieve a single customer view to trace each customer’s lifecycle via transaction data patterns
