TREE is derived from the accumulation of long-term experience in serving financial and banking customers in IT construction, and provides complete intelligent decision-making service solutions for commercial Banks, which can meet customers' requirements of business decision-making algorithm and rule management.
1.TREE is based on the ecological development of financial business application.Meet customer rating, application score, behavior score, collection score, pre-credit calculation, marketing recommendation, risk measurement, anti-fraud, risk warning, approval decision and other business scenarios.
2.TREE is an open product that can be customized for business scenarios.Support structured and unstructured data access, its pre-module can docking external data platform according to different needs of the financial industry, to achieve engine data preprocessing.
3.TREE provides a variety of visual modeling methods.Provide rules engine, algorithm engine, process engine, etc., support machine learning modeling based on tensorflow framework, configuration and optimization of common business rules, model test and verification, etc., and can seamlessly connect with third-party modeling products such as SAS, MATLAB, etc., to achieve smooth transition between inventory model and new model.
4.There are more than 50 TREE application cases, among which there are 20 projects of decision engine type, 22 projects of risk control type based on big data and decision engine.Online credit projects based on big data and decision engine: 19.