Method for Constructing Data Model Of Enterprise Relationship Graph Based on Industrial and Commercial Data

The method relies on the commercial bank system architecture, reuses the external business data query service of the commercial banking system, integrates the data warehouse data processing capability, provides the association data to the map presentation tool, and constructs the enterprise relationship map data model. Thereby a relational graph model generates and provides the bank with the data needed under the customized query. The core technology of the method is to design the relational graph database model and explore the national publicity data. The construction of the relationship map helps to improve the bank's ability to acquire new customers, as well as to fully understand existing customers, create customer portraits, and help banks prevent group customers' group risks. In the field of procurement business, in order to avoid the bidding and stringing between suppliers, the method establishes the actual controller algorithm to understand whether there is a relationship between suppliers, what is the relationship, provide data support for procurement decisions.