Huntington Bancshares has patented methods and systems for data assessment across related datasets. The technology identifies exceptional values, assesses upstream and downstream datasets, and uses data lineage information to identify impacted data. The patent involves storing exception entries and linking them to identify affected data. GlobalData’s report on Huntington Bancshares 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 Huntington Bancshares, Blockchain-based claims settlement was a key innovation area identified from patents. Huntington Bancshares's grant share as of February 2024 was 93%. Grant share is based on the ratio of number of grants to total number of patents.
Data assessment system for identifying exceptional values in datasets
The granted patent (Publication Number: US11921698B2) discloses a computer-readable medium storing instructions for a computing system to assess attributes in records, identify exceptional values, and store entries in an exception table. The system can link entries from different datasets based on identified attributes and exceptions. The instructions also include identifying records in second datasets that utilize attributes with exceptional values, storing entries in the exception table, and linking them using unique identifiers.
Furthermore, the patent extends to a computer system comprising processors and a non-transitory computer-readable medium storing instructions for assessing attributes, identifying exceptional values, and linking entries in an exception table. The system can identify records in different datasets, store entries in the exception table, and establish connections between entries using unique identifiers. Additionally, the system includes instructions for identifying transform functions, records in third databases utilizing identified attributes, and communicating record identifiers to entities for downstream process adjustments. The patent aims to streamline data analysis processes and facilitate the identification and management of exceptional values across multiple datasets efficiently.
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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.
