US 11,989,676 B2
Risk management data channel interleaved with enterprise data to facilitate assessment responsive to a risk event
Paul Shane Ripley, Burnt Yates (GB); Simon Kristiansen Ejsing, Redmond, WA (US); Daniel Christian Brown, Bellevue, WA (US); and Matthew Lowell Cox, Walnut Creek, CA (US)
Assigned to Certinia Inc., San Jose, CA (US)
Filed by Certinia Inc., San Jose, CA (US)
Filed on May 4, 2020, as Appl. No. 16/866,285.
Prior Publication US 2021/0342758 A1, Nov. 4, 2021
Int. Cl. G06Q 10/0635 (2023.01); G06F 16/332 (2019.01); G06F 16/335 (2019.01); G06Q 10/0637 (2023.01); G06Q 30/01 (2023.01)
CPC G06Q 10/0635 (2013.01) [G06F 16/3329 (2019.01); G06F 16/335 (2019.01); G06Q 10/0637 (2013.01); G06Q 30/01 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A user interface f or selecting and presenting business related risk levels comprising:
a graphical user interface (GUI) comprising:
a first drop-down menu for selecting one or more business accounts;
a second drop-down menu f or selecting a source data feed;
at least a first user interface portion configured to activate a first user input, from an enterprise resource computing platform, to present business-related data as of unction of a risk level in response to and associated with the first drop-down menu selection of the one or more business accounts, the first user interface portion configured in a standardized format; and
a second user interface portion configured to activate a second user input to present business-related data as a function of a source of a data feed in response to the second drop-down menu selection of the source data feed and the risk level, the second user interface portion configured in the standardized format;
the graphical user interface displaying one or more sets of data being determined by a method comprising:
monitoring a data stream received by the enterprise resource computing platform for detection of a risk data signal, the risk data signal being based on keyword identification of at least one portion of text in the data stream, the risk data signal being associated with a business data object, the business data object being associated with a hierarchical business data object, the risk data signal including strings of concatenated portions of the risk data signal comprising a first portion of the risk data signal including the risk level for classifying the risk data signal, and a second portion of the risk data signal being configured for mapping the risk level to business function data;
detecting, by the enterprise resource computing platform, the risk data signal from the data stream by extracting keywords from the data stream using natural language processing (NLP);
identifying one or more portions of the concatenated portions of the risk data signal;
computing, by the enterprise resource computing platform, the risk level of data of the risk data signal based on at least one portion of the identified portions of the risk data signal;
classifying data of the risk data signal associated with the hierarchical business data object as being at the computed risk level;
aggregating the classified data associated with the hierarchical business data object with other data associated with other hierarchical business data objects classified as being at the computed risk level to form aggregated data;
converting, by the enterprise resource computing platform, a subset of the aggregated data at the computed risk level into the standardized format for presenting in the graphical user interface; and
executing instructions for presenting within the graphical user interface the subset of the aggregated data at the computed risk level in the standardized format in response to user selections of the first drop-down menu and the second drop-down menu.