SAP has been granted a patent for techniques to update or enhance consolidated data derived from base data. The system calculates consolidated data, stores it in a database, and allows users to request data augmentation. The updated data is then processed and displayed on a user interface. GlobalData’s report on SAP gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on SAP, AI for workflow management was a key innovation area identified from patents. SAP's grant share as of May 2024 was 43%. Grant share is based on the ratio of number of grants to total number of patents.
Dynamic data augmentation for consolidated data display

A recently granted patent (Publication Number: US12001710B2) discloses a computing system that involves calculating consolidated data from base data in a first database, storing it in a second database, and providing it to a client for display. The system also allows for data augmentation requests from the client, processing of base data using search criteria to provide updated data, and displaying the updated data on a user interface. The system enables the processing of data at different levels of granularity, handling of attribute differences between consolidated and updated data, and displaying differences between values, among other operations.
Furthermore, the patent includes methods for calculating consolidated data, storing and providing data to clients, receiving data augmentation requests, processing base data for updated data, and displaying the updated data on user interfaces. The patent also covers computer-readable storage media with instructions for performing these operations on a computing system. The system allows for the rendering of both consolidated and updated data concurrently, handling of different versions of base data, and providing values associated with user input as search criteria. Overall, the patent outlines a comprehensive computing system and method for managing and displaying data efficiently across different databases and user interfaces, catering to various data processing needs and user interactions.
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