How to build a big data risk control system

The traditional risk control system is relatively simple, a simple IT system combined with online and offline credit, credit data sources are limited, the principle is simple, the risk is greater.

Relative to the big data risk control system, due to the big data credit scoring reasons, the IT system is relatively perfect, the source of data from credit agencies and the Internet various platforms related data.

Broadly, there are four parts of the function:

1, scoring modeling, wind control part;

2, IT system: business system, approval system, credit system, collection system, accounting system;

3, decision-making configuration tool, that is, the letter dai decision-making engine;

4, the integration of credit big data module.

The advantage of the big data risk control system is that it is big data-driven and compatible with manual and automatic approval, decision-making, and post-dai management.