Cognizant Technology Solutions has patented a system and method for automated data screening for background verification. The invention involves analyzing input files, enriching data from URLs, matching data, determining adverse data, and generating output files. The method aims to streamline the background verification process efficiently. GlobalData’s report on Cognizant Technology Solutions gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Cognizant Technology Solutions, Neural network-based robotics was a key innovation area identified from patents. Cognizant Technology Solutions's grant share as of January 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Automated data screening system for background verification

Source: United States Patent and Trademark Office (USPTO). Credit: Cognizant Technology Solutions Corp

A recently granted patent (Publication Number: US11836201B2) discloses a method for automated data screening for background verification. The method involves analyzing client data and Connected Parties (CPs) data from input files, performing data enrichment operations based on Universal Resource Locators (URLs) extracted from open media sources, and matching the enriched data to classify results as true, false, or potential matches. Adverse data associated with the matched data is determined, and a sentiment score is computed for each entry. The adverse data is cleaned and filtered to generate screened data, with a focus on updating missing information and improving accuracy through a feedback loop.

Furthermore, the method includes a hierarchical matching process for individual CPs and entity-based matching for companies, determining successful and unsuccessful matches based on data identity. Adverse data is extracted using predefined keywords from web sources, with sentiment scores used to rank severity and determine percentage match. The cleaned adverse data is processed to extract relevant information, and the final output is organized in an MS Excel file format for easy visualization on an actionable user interface. A computer program product is also described, detailing the instructions for executing the method on a processor, including data analysis, enrichment, matching, adverse data determination, and output generation in a structured format for efficient background verification processes.

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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.