Jefferies Financial Group has been granted a patent for new methods and systems to model company metrics using diverse data sources and analytical techniques. The system can identify inflection points and changes in strategy, providing transparency into company and industry performance. GlobalData’s report on Jefferies Financial Group 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 Jefferies Financial Group, was a key innovation area identified from patents. Jefferies Financial Group's grant share as of April 2024 was 91%. Grant share is based on the ratio of number of grants to total number of patents.
Data analysis system for modeling company performance metrics
A recently granted patent (Publication Number: US11928697B2) discloses a data analysis system that involves a processor connected to multiple data sources providing measurable data. The processor is designed to receive information about a selected asset and a performance metric to be analyzed, monitor and access relevant data sets, validate and filter the data, select an analytical process, apply the process to create models, and store the combined model in a data storage unit. The system allows for the analysis of performance metrics using various analytical methods such as regression analysis, time series analysis, neural networks, and machine learning, based on the relationship between the data sets and the performance metric.
Furthermore, the patent claims cover aspects such as the inclusion of fundamental and non-fundamental data sources, mapping unstructured data from websites into structured formats, collaboration with data service providers, and the correction of models if inaccuracies are detected. The system is versatile in handling different categories of data sources, combining data sets for analysis, and processing data in parallel to enhance efficiency. With a focus on assets like companies, industries, products, or services, the data analysis system aims to provide valuable insights through a comprehensive and structured approach to modeling performance metrics.
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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.
