CRM data processing method based on cloud platform

Abstract

The invention provides a cloud platform-based CRM (customer relation management) data processing method. The method includes the following steps that: a service providing enterprise, adopted as a primary tenant, registers a tenant space of the service providing enterprise its own, creates a resource model, and provides services through a CRM system; and when a user customizes the services provided by the service providing enterprise, the user obtains the model from the resource library of the enterprise, customizes the model and stores the model at a secondary tenant space under the tenant space of the enterprise, wherein the secondary tenant space belongs to the user. The cloud platform-based CRM data processing method provided by the invention accords with core demands of the enterprise of concerning related entities associated with business, effectively controls the quantity of services, improves the efficiency of service discovery and benefits the realization of the personalization of the services of the enterprise.

Description

technical field [0001] The invention relates to data storage, in particular to a cloud platform-based CRM data processing method. Background technique [0002] In the customer relationship management CRM enterprise system of the application architecture, multiple applications often reuse the same service. At the same time, multiple services need to be integrated to implement complex transaction processes. However, data-centric enterprise services pay more attention to the transaction ontology related to enterprise affairs, and the core of the service is the operation of the transaction ontology. However, when using the existing service system to build data services, there are two choices: building different services for different needs or returning the data to let users handle it by themselves. Moreover, this will bring about a sharp increase in the number of services, difficulties in service discovery, and difficulty in obtaining key data, so it is difficult to achieve go...

AI Technical Summary

Problems solved by technology

However, when using the existing service system to build data services, there are two options: building different services for different needs or returning the data to let users handle it themselves.

Moreover, this will lead to a sharp increase in the number of services, difficulties in service discovery, and difficulty in obtaining key data, so it is difficult to realize service personalization well.

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