Federal Home Loan Mortgage has been granted a patent for a system that generates a common data engineering framework. The system receives, analyzes, and organizes source data from various formats into a common format, utilizing profiling algorithms to identify outliers and relationships among data elements. GlobalData’s report on Federal Home Loan Mortgage gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Federal Home Loan Mortgage, Virtual banking assistant was a key innovation area identified from patents. Federal Home Loan Mortgage's grant share as of February 2024 was 90%. Grant share is based on the ratio of number of grants to total number of patents.

Data engineering framework for common data format organization

Source: United States Patent and Trademark Office (USPTO). Credit: Federal Home Loan Mortgage Corp

A recently granted patent (Publication Number: US11921739B1) discloses a device and method for data processing and analysis. The device includes memory and processing circuitry that receives source data from a data source, analyzes the data, selects multiple profiling algorithms based on the data types, profiles the data, identifies outlier elements, removes them, and mines the data to identify relationships. The device generates a data dictionary, configuration file, and data model to organize the data elements in a common format. The method involves similar steps and can be executed using computer-readable instructions stored on a non-transitory computer-readable medium.

Furthermore, the patent mentions the use of machine learning to associate profiling algorithms with data element types, ensuring the automatic selection of the most suitable algorithms. The data model created by the device identifies tables for data elements and links to other tables, enhancing data organization. Additionally, the device can handle source data in multiple formats, updating the configuration file accordingly. The processing circuitry can also generate transformation rules and enterprise rules for formatting changes based on data types and sources, providing a comprehensive data processing solution. Overall, the patented technology offers a sophisticated approach to data analysis, profiling, and organization, with potential applications in various industries requiring efficient data management and analytics.

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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.