SAP has been granted a patent for a method and system that generates synthetic data samples. This process involves identifying fields in seed data from a source system, creating synthetic samples to enhance data volume and diversity, and sending these samples to a target system for task performance. GlobalData’s report on SAP 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 SAP, AI for workflow management was a key innovation area identified from patents. SAP's grant share as of July 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Synthetic data generation for enhancing data diversity and volume

Source: United States Patent and Trademark Office (USPTO). Credit: SAP SE

The granted patent US12073246B2 outlines a system and method for generating synthetic data samples based on seed data from a source system. The system includes at least one processor and memory containing program code that, when executed, identifies an identifier field and a relationship field within a first datatype of a seed data sample. The identifier field differentiates instances of the datatype, while the relationship field defines connections to a second datatype. The process involves generating a synthetic data sample that supplements the volume and diversity of the original data, populating the identifier field with a synthetically generated value, and sending this sample to a target system to facilitate various tasks, including reporting, analytics, and machine learning.

Additionally, the patent describes mechanisms for propagating changes between parent and child datatypes, ensuring that updates in synthetic data are reflected across related data samples. The synthetic data can be sent to the target system through various methods, such as pushing it to an event stream or a raw data store for further processing. The patent also covers the conversion of data formats, allowing for the transformation of the synthetic data into different storage formats, such as from JSON or XML to a column-oriented format like Parquet. Overall, the patent emphasizes the generation and utilization of synthetic data to enhance data diversity and support advanced data processing tasks in target systems.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.