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 data sets, computing projection factors, and performing operations to estimate data using selected samples and parameters derived from multiple data sources. 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 June 2024 was 71%. Grant share is based on the ratio of number of grants to total number of patents.
Data management and estimation using cloud servers
The patent US12038925B2 outlines a method and system for executing data cloud operations utilizing one or more data cloud servers. The process 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 selecting projected samples to create a fourth data set, which is used to perform a computer operation for estimating the data.
Additionally, the patent includes claims for enhancing the method, such as transmitting the first data set to a data store, performing data cleaning or de-duplication, and mapping data to a canonical format. It also describes monitoring the stability of samples over time and mapping samples to inclusion parameters to determine relevant data. The system is designed to utilize computing device processors and memories to execute these operations efficiently, ensuring that the data handling process is robust and adaptable to various data sources, including census or historical data. The comprehensive approach outlined in the patent aims to improve the accuracy and reliability of data estimations in cloud environments.
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