US 12,443,908 B2
Data distillery for signal detection
Mary Krone, San Rafael, CA (US); Ryan Weber, Golden, CO (US); Ana Paula Azevedo Travassos, São Paulo (BR); Laura Waterbury, San Francisco, CA (US); Paulo Mei, São Paulo (BR); Mayumi Assato, Americana (BR); Shubham Kedia, Giridih (IN); Nitin Basant, Ramgarh Cantt (IN); and Chisoo Lyons, San Rafael, CA (US)
Assigned to Fair Isaac Corporation, Minneapolis, MN (US)
Filed by FAIR ISAAC CORPORATION, Minneapolis, MN (US)
Filed on Mar. 18, 2024, as Appl. No. 18/608,128.
Application 18/608,128 is a division of application No. 17/659,643, filed on Apr. 18, 2022, granted, now 11,966,873.
Application 17/659,643 is a continuation of application No. 16/557,572, filed on Aug. 30, 2019, granted, now 11,341,449, issued on May 24, 2022.
Application 16/557,572 is a continuation in part of application No. 16/137,230, filed on Sep. 20, 2018, granted, now 10,885,055, issued on Jan. 5, 2021.
Prior Publication US 2024/0220907 A1, Jul. 4, 2024
Int. Cl. G06F 7/00 (2006.01); G06F 16/9035 (2019.01); G06F 16/9038 (2019.01); G06N 20/00 (2019.01); G06Q 10/0639 (2023.01); G06Q 10/067 (2023.01)
CPC G06Q 10/06395 (2013.01) [G06F 16/9035 (2019.01); G06F 16/9038 (2019.01); G06N 20/00 (2019.01); G06Q 10/067 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A computer implemented system comprising:
at least one programmable processor;
a non-transitory machine-readable medium storing instructions that, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising:
receiving information framing a discovery objective regarding aspects of a plan;
receiving information identifying data sources deemed to be relevant to the discovery objective;
identifying other data sources based on at least one of the received information identifying the data sources deemed to be relevant to the discovery objective and the received information framing the discovery objective;
retrieving data based on the information framing the discovery objective from at least some of the data sources deemed to be relevant to the discovery objective by one or more users and the identified other data sources;
assessing quality of the data sources from which data was retrieved by determining relevance of data retrieved from the data sources to the discovery objective across a plurality of dimensions including at least two or more of data integration, data resolution, data panorama, data accuracy, or data accessibility;
calculating quality indicators indicative of the assessed quality of the data sources; and
providing, over a network to one or more participants, the calculated quality indicators indicative of the assessed quality of the data sources from which data was retrieved.