Industry model consulting solutions

Scheme background

The insurance industry is now under rapid development, but the construction of industry standards and models starts relatively late. Each insurance institution makes the plan by itself and builds its own system even for the same business. In order to ensure the consistency of information data within the industry, the industry data model performs a comprehensive combing and classification of insurance business to describe the internal relations among departments, systems and links from the overall data perspective.

Scheme content

The BOR (Behavior, Object, Relationship) method applicable to the insurance industry can be applied to the insurance industry data model, that is, the scope and content of the data model are determined by combing the insurance business activities (B), extracting the business objects (O) and their attributes, and summarizing the mutual relationship of the business objects (R), realizing the comprehensive services within the scope. In order to facilitate the identification of entities and their interrelationships, entities are classified and abstracted into 10 subject domains according to two principles of information sharing and business coupling. The logical relationship between entities under each subject domain is analyzed in detail to construct entities and data items under each subject domain.

Scheme value

Based on the key business processes of insurance companies, Chinasoft International insurance industry data model summarizes the current status of insurance business comprehensively. Its scientific and unique value lies in: realizing the complete coverage of all types of business in the scope. Reasonably show the actual operation and management of insurance business and scientifically reflect the objective laws of the operation of insurance businesses based on the principles of scientificity, rationality and universality. Support the insurance company information system construction and standardize insurance business activities by closely combining the insurance regulation and industry data sharing requirements. Provide data and data table materials for data exchange between and within industry institutions, which are used to standardize and guide data governance, data exchange between institutions and systems and industry application system construction, finally forming the standard industry data model system.