Veeva Systems. has been granted a patent for a method that utilizes data cloud servers to manage and access data. The method involves receiving and stratifying multiple data sets, computing projection factors, and performing operations to estimate data based on selected projected samples and parameters. GlobalData’s report on Veeva Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Veeva Systems, Social media analytics was a key innovation area identified from patents. Veeva Systems's grant share as of July 2024 was 70%. Grant share is based on the ratio of number of grants to total number of patents.

Data management and estimation using cloud servers

Source: United States Patent and Trademark Office (USPTO). Credit: Veeva Systems Inc

The granted patent US12038925B2 outlines a comprehensive method and system for executing data cloud operations utilizing one or more data cloud servers. The method begins with receiving a request to estimate data, followed by the formation and execution of queries to retrieve multiple data sets from various sources. The retrieved data sets are then stratified into samples based on specified dimensions. A projection factor is computed for each sample, which involves analyzing the frequency of properties within the data. This factor is subsequently used to generate projected samples, which are further refined through additional queries and computations involving a third data set. The final step involves performing a computer operation to estimate data using the selected projected samples and a computed parameter.

Additionally, the patent includes provisions for enhancing data integrity and usability. It allows for operations such as cleaning or de-duplicating the initial data set, mapping it to a canonical format, and monitoring the stability of samples over time. The method also incorporates the use of inclusion parameters to determine relevant data for the samples, ensuring that the data utilized in the estimation process is both accurate and representative. The system is designed to leverage computing device processors and memories to execute these operations efficiently, thereby facilitating robust data analysis and estimation in cloud environments.

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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.