Centralized dispatching of application analytics
A method may include, in a computing device comprising at least one processor and a memory, generating at least one information beacon from each of a plurality of applications installed on the computing device. Each information beacon may include application analytics data associated with a corresponding application while the corresponding application is running on the computing device. The at least one information beacon from each of the plurality of applications may be stored in a common location in the computing device. The stored at least one information beacon may be dispatched from each of the plurality of applications to a network device communicatively coupled to the computing device. The generating may be triggered by beacon generation code implemented in each of the plurality of applications installed on the computing device.
In the overall ownership cost of enterprise system, the maintenance cost consists of a major percentage. During the lifetime of an enterprise system, process customization is the most frequent maintenance efforts. However, current processing method has limited scalability and efficiency. In this case study, we explained how a scalable and efficient customization processing method was implemented. This method used the carbon emission trading mechanism to facilitate the cost benefit analysis of customization request. It also used distributed processing principle to improve the overall processing efficiency. Feedback from a pilot implementation in a large manufacturer included.