Veeva Systems has filed a patent for systems and methods that enable the management and access of data using data cloud servers. The patent describes a method for performing data cloud operations, including receiving data sets from multiple sources, stratifying the data sets into samples, computing projection factors, and performing computer operations for estimating data. The invention aims to improve data management and analysis in cloud-based environments. GlobalData’s report on Veeva Systems 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 Veeva Systems, Social media analytics was a key innovation area identified from patents. Veeva Systems's grant share as of September 2023 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Managing and accessing data using data cloud servers
A recently filed patent (Publication Number: US20230237057A1) describes a method for performing data cloud operations using one or more data cloud servers. The method involves several steps, including receiving a request for estimating data, receiving data sets from multiple sources, stratifying the data sets into samples based on dimensions, computing projection factors for each sample, computing projected samples using the projection factors, receiving additional data sets, computing parameters using the additional data sets, selecting samples to form a new data set, and performing a computer operation to estimate the data using the new data set and the parameters.
The method also includes additional steps such as identifying data sources, forming queries for retrieving data sets, initiating the execution of queries, determining network locations of data sources, transmitting data sets to a data store, performing cleaning or de-duplicating operations on data sets, mapping data sets to a canonical format, determining the location of data sources with time series data, monitoring the stability of samples using a model, selecting stable samples for the computer operation, mapping samples to inclusion parameters, utilizing inclusion metrics to determine inclusion data, and assessing variance of inclusion metrics.
The patent also describes a system for performing these data cloud operations, which includes one or more computing device processors and memories storing instructions executed by the processors. The instructions are configured to carry out the steps mentioned above, including receiving requests, stratifying data sets, computing projection factors and parameters, selecting samples, and performing the computer operation.
Overall, this patent presents a method and system for efficiently performing data cloud operations using multiple data sources and servers. The method allows for the estimation of data by dividing and computing various factors and parameters. The system utilizes computing device processors and memories to execute the necessary instructions for carrying out the operations. This technology has the potential to improve data analysis and processing in cloud environments, enabling more accurate and efficient estimation of data.
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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.
