Data processing method and device, electronic equipment and computer readable storage medium

Abstract

The invention provides a data processing method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of data processing, and the method comprisesthe steps: obtaining a current numerical value of first data in an insurance data system; determining second data having a numerical constraint relationship with the first data in the insurance datasystem; determining a target machine learning model, wherein the target machine learning model is used for describing a numerical constraint relationship between the first data and the second data; and processing the current value of the first data through the target machine learning model to determine a target value of the second data. According to the technical scheme provided by the embodimentof the invention, the target value of the second data can be determined according to the first data by using the target machine learning model, the calculation complexity of the target value of the second data is reduced, and manpower and material resources are saved.

Description

Technical field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a data processing method and device, electronic equipment, and computer-readable storage medium. Background technique

[0002] In a complex insurance data system, the values ​​are often changed due to various reasons (such as user selection errors, operator errors, etc.). Once a certain value in the insurance data system changes, the corresponding values ​​of the business system, financial system, reinsurance system, reserve system, and supervisory reporting system must be adjusted consistently. However, in actual operation, because each subsystem is managed by a different development team, information communication is not smooth, and the requirements for value adjustment personnel are high, it is very difficult to modify the corresponding data in multiple subsystems.

[0003] At present, the generally adopted method is to transfer the value modification requireme...

Examples

Embodiment Construction

[0033] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms, and should not be construed as being limited to the embodiments set forth herein; on the contrary, these embodiments are provided so that this disclosure will be comprehensive and complete, and fully convey the concept of the example embodiments To those skilled in the art. In the figures, the same reference numerals denote the same or similar parts, and thus their repeated description will be omitted.

[0034] The described features, structures or characteristics can be combined in one or more embodiments in any suitable way. In the following description, many specific details are provided to give a sufficient understanding of the embodiments of the present disclosure. However, those skilled in the art will realize that the technical solutions of the present disclosure can be practiced without one or more...

Technical field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a data processing method and device, electronic equipment, and computer-readable storage medium. Background technique

[0002] In a complex insurance data system, the values ​​are often changed due to various reasons (such as user selection errors, operator errors, etc.). Once a certain value in the insurance data system changes, the corresponding values ​​of the business system, financial system, reinsurance system, reserve system, and supervisory reporting system must be adjusted consistently. However, in actual operation, because each subsystem is managed by a different development team, information communication is not smooth, and the requirements for value adjustment personnel are high, it is very difficult to modify the corresponding data in multiple subsystems.

[0003] At present, the generally adopted method is to transfer the value modification requireme...

Examples

Embodiment Construction

[0033] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms, and should not be construed as being limited to the embodiments set forth herein; on the contrary, these embodiments are provided so that this disclosure will be comprehensive and complete, and fully convey the concept of the example embodiments To those skilled in the art. In the figures, the same reference numerals denote the same or similar parts, and thus their repeated description will be omitted.

[0034] The described features, structures or characteristics can be combined in one or more embodiments in any suitable way. In the following description, many specific details are provided to give a sufficient understanding of the embodiments of the present disclosure. However, those skilled in the art will realize that the technical solutions of the present disclosure can be practiced without one or more...

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