US 12,175,530 B2
Systems and methods for geo mapping
Richard Jones, Tarrytown, NY (US); Vincent Procacci, New York, NY (US); Spencer Gallagher, Pennington, NJ (US); Caroline Tom, Brooklyn, NY (US); and Ralph Harary, Sudbury, MA (US)
Assigned to Intercontinental Exchange Holdings, Inc., Atlanta, GA (US)
Filed by Intercontinental Exchange Holdings, Inc., Atlanta, GA (US)
Filed on Mar. 13, 2024, as Appl. No. 18/603,610.
Application 18/603,610 is a continuation of application No. 18/501,525, filed on Nov. 3, 2023, granted, now 11,961,139.
Application 18/501,525 is a continuation of application No. 18/122,252, filed on Mar. 16, 2023, granted, now 11,854,078, issued on Dec. 26, 2023.
Application 18/122,252 is a continuation of application No. 17/583,920, filed on Jan. 25, 2022, granted, now 11,640,637, issued on May 2, 2023.
Claims priority of provisional application 63/161,711, filed on Mar. 16, 2021.
Prior Publication US 2024/0221074 A1, Jul. 4, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 40/03 (2023.01)
CPC G06Q 40/03 (2023.01) 17 Claims
OG exemplary drawing
 
1. A method for geographical mapping and linking of disparate data structures for interaction, the method comprising:
obtaining, via at least one server in communication with one or more data source systems, data generated from among the one or more data source systems, the data comprising geo-spatial data, security data, and additional data;
creating, in at least one storage structure, a set of data tables;
creating and storing, by the at least one server, in a first data table among the set of data tables, one or more cross-references between one or more location indicators and one or more geo-spatial areas based on at least one statistical algorithm, in accordance with the geo-spatial data, wherein the at least one statistical algorithm is configured to query the geo-spatial data and map the one or more location indicators to the one or more geo-spatial areas in accordance with at least one predetermined criteria;
generating and storing, by the at least one server, for each of the one or more geo-spatial areas, at least one credit risk indicator based on the additional data, to form credit risk indicator data stored in a second data table among the set of data tables;
identifying, by the at least one server, at least one security of the security data, the identified at least one security associated with at least one among the one or more location indicators;
creating, by the at least one server, one or more links among the identified at least one security, the one or more geo-spatial areas and the at least one credit risk indicator among the credit risk indicator data, based on the one or more cross-references in the first data table, to form instrument-level data for the identified at least one security including the at least one credit risk indicator;
storing the instrument-level data for the identified at least one security in a third data table among the set of data tables;
updating the set of data tables in response to any changes in the data obtained from the one or more data source systems, by at least one of: updating one or more existing data entries stored among the set of data tables and adding one or more new data entries among the set of data tables; and
generating an interactive graphical user interface (GUI) via at least one interactive webpage, the interactive GUI comprising one or more user tools configured to query the set of data tables including any updated data entries and any added data entries.