Cloud-computing-based pharmaceutical enterprise evaluation service system and method

Abstract

The invention discloses a cloud-computing-based pharmaceutical enterprise evaluation service system and a cloud-computing-based pharmaceutical enterprise evaluation service method. The system comprises a client, a server and a database module. The client comprises an enterprise information input module, and is used for submitting the product and technical data, market data, value chain data, dynamic capability data, profitability data and historical achievement data of a pharmaceutical enterprise to the server according to a set enterprise parameter model, and further storing the data to the database module. The database module also stores a preset database, and is used for storing parameters of evaluation cases for subsequent comparison. The server comprises a parameter acquisition module, an evaluation module and an intelligent learning module, and data are processed in the server. According to the cloud-computing-based pharmaceutical enterprise evaluation service system and the cloud-computing-based pharmaceutical enterprise evaluation service method, by the preset database and the intelligent learning module, evaluation efficiency can be improved, evaluation can be standardized, and the reliability of an evaluation result is improved.

Description

technical field [0001] The invention belongs to the field of computer technology, and relates to an enterprise evaluation service system, in particular to a cloud computing-based medical enterprise evaluation service system; meanwhile, the present invention also relates to a cloud computing-based medical enterprise evaluation service method. Background technique [0002] Nowadays, the number of enterprises is increasing, and the existing methods for evaluating the advantages and disadvantages of enterprises are usually based on artificial evaluation based on some data. [0003] The disadvantages of human evaluation are: firstly, there are a lot of enterprise data, including operating data, business prospect data, etc., and it takes a lot of time to sort out artificially, which leads to low evaluation efficiency; secondly, different evaluation elements and standards are different for different people. It is easy to lead to different evaluation results of the same enterprise b...

AI Technical Summary

Problems solved by technology

[0003] The disadvantages of human evaluation are: firstly, there are a lot of enterprise data, including operating data, business prospect data, etc., and it takes a lot of time to sort out artificially, which leads to low evaluation efficiency; secondly, different evaluation elements and standards are different for different people. It is easy to lead to different evaluation results of the same enterprise by different people, and the evaluation is not very convincing.

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