Compared with the traditional non-systematic risk identification of enterprises

the comprehensive risk identification of enterprises under the background of big data has undergone a qualitative change. This qualitative change depends on the difference between the external data of business behavior and traditional default risk focusing on internal financial information. It is an inward requirement for the construction of enterprise information

which turns to the external performance of enterprise operating activities. During big data times

data multi-source heterogeneous characteristics are placed in the field of enterprise risk identification or early warning

which determines that traditional risk identification will inevitably be based on multiple sources of enterprise information. Obtaining information of business behaviors from related parties

reconstructing the risk identification mechanism of multi-source heterogeneous “enterprise big data” will also increase the risk identification precision of enterprises even with traditional modeling methods.