Huntington Bancshares‘s patent involves methods and systems for assessing data across related datasets by identifying exceptional values and analyzing their impact on upstream or downstream datasets. The patent details storing exception entries in a table to track and link affected data. GlobalData’s report on Huntington Bancshares gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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 April 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

Source: United States Patent and Trademark Office (USPTO). Credit: Huntington Bancshares Inc

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, store entries in an exception table, and link related records across datasets. The system identifies records with attributes utilizing exceptional values, stores entries in the exception table, and establishes links between entries using unique identifiers. Additionally, the system can search for matching records in other datasets based on identifiers and transform functions utilizing exceptional attribute values to create new attributes in related records.

Furthermore, the patent also covers a computer system comprising processors and a non-transitory computer-readable medium with instructions to assess attributes, identify exceptional values, store entries in an exception table, link related records, search for matching records in other datasets, identify transform functions, and communicate with entities to adjust downstream processes. The system aims to streamline data management processes by efficiently identifying and managing exceptional values across datasets, enabling better data analysis and decision-making. The instructions provided in the patent offer a systematic approach to handling data exceptions and ensuring data integrity throughout various datasets within a computing system.

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