ServiceNow. has been granted a patent for a method that involves receiving a correlation request between application instances, updating a correlation index upon approval, and providing modified data records based on this index. This process enhances data correlation between applications. GlobalData’s report on ServiceNow gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on ServiceNow, Network traffic analysis was a key innovation area identified from patents. ServiceNow's grant share as of July 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.
Data record correlation between application instances
The patent US12073106B2 outlines a method and system for managing data correlation between application instances. The process begins with a first application instance receiving a correlation request from a second application instance. Upon approval of this request, a correlation index is updated with a directional correlation entry. If the data record associated with the first application instance is modified, the updated correlation index is utilized to determine that the modified data record should be sent to the second application instance. The method also includes provisions for handling access permissions, ensuring that only authorized requests are processed, and allows for the manipulation of the modified data record before it is shared.
Additionally, the patent describes features for maintaining the integrity of the correlation process. This includes identifying when the second application instance is unreachable and disabling the corresponding correlation entry. The system can also accommodate migration requests from a third application instance, allowing for updates to the correlation index as needed. Furthermore, the method allows for the selective sharing of data fields, ensuring that only relevant information is provided to the requesting application instance. Overall, the patent presents a structured approach to data correlation that emphasizes security, flexibility, and efficient data management across interconnected application instances.
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