System and method for analytics with automated whisper mode
US-10367942-B2 · Jul 30, 2019 · US
US11669795B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11669795-B2 |
| Application number | US-202017121230-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 14, 2020 |
| Priority date | Aug 9, 2019 |
| Publication date | Jun 6, 2023 |
| Grant date | Jun 6, 2023 |
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Disclosed herein are system, method, and computer program product embodiments for identifying and managing emerging risks. Businesses, such as those participating in regulated industries, may need to regularly monitor enforcement actions that are cited in a variety of sources. Embodiments disclosed herein provide for scraping information from those sources and comparing it to existing risk events in order to determine possible discrepancies that should be assessed.
Opening claim text (preview).
What is claimed is: 1. A computer implemented method, comprising: connecting, by one or more computing devices, a scraping interface to an enforcement information source; scraping, by the scraping interface, enforcement information from the enforcement information source; applying, by the one or more computing devices, a regular expression search to the enforcement information from the enforcement information source to identify first citation data formatted according to a regular form for regulatory citations within the enforcement information; determining, by the one or more computing devices, a classification for the enforcement information associated with the first citation data; classifying, by the one or more computing devices, a risk information document to determine a classification for the risk information document using phrase-based scoring on the contents of the risk information document, wherein the classification for the risk information document is associated with second citation data conforming to the regular form for regulatory citations; comparing, by the one or more computing devices, the first citation data against the second citation data of the risk information document to determine a correspondence between the classification for the enforcement information and the classification for the risk information document; storing, by the one or more computing devices, the enforcement information in association with the risk information document, based on a match between the first citation data and the second citation data; and presenting in an interface, by the one or more computing devices, a plurality of discrepancies, wherein the plurality of discrepancies includes a discrepancy based on the association of the enforcement information with the risk information document; and permitting, by the one or more computing devices, arrangement of the plurality of discrepancies on the interface according to a risk level. 2. The computer implemented method of claim 1 , wherein the enforcement information source comprises a database of a plurality of enforcement actions. 3. The computer implemented method of claim 1 , wherein the enforcement information source comprises a database of a plurality of complaints. 4. The computer implemented method of claim 1 , further comprising: selecting, by the one or more computing devices, a line of business from a plurality of lines of business corresponding to the classification for the risk information document; and notifying, by the one or more computing devices, the line of business of the association of the enforcement information with the risk information document. 5. The computer implemented method of claim 1 , wherein classifying the risk information document using phrase-based scoring on the contents of the risk information document comprises: determining, by the one or more computing devices, the classification of the risk information document by performing the phrase-based scoring against a plurality of risk information documents selected from a plurality of classifications. 6. A system, comprising: a memory configured to store operations; and one or more processors configured to perform the operations, the operations comprising: connecting a scraping interface to an enforcement information source; scraping, by the scraping interface, enforcement information from the enforcement information source; classifying the enforcement information to determine a classification for the enforcement information using phrase-based scoring on the contents of the enforcement information, wherein the classification for the enforcement information is associated with first citation data conforming to a regular form for regulatory citations; classifying a risk information document to determine a classification for the risk information document using phrase-based scoring on the contents of the risk information document, wherein the classification for the risk information document is associated with second citation data conforming to the regular form for regulatory citations; comparing the first citation data of the enforcement information against the second citation data of the risk information document to determine a correspondence between the classification for the enforcement information and the classification for the risk information document; storing the enforcement information in association with the risk information document, based on a match between the first citation data and the second citation data; and presenting in an interface, by the one or more processors, a plurality of discrepancies, wherein the plurality of discrepancies includes a discrepancy based on the association of the enforcement information with the risk information document; and permitting, by the one or more processors, arrangement of the plurality of discrepancies on the interface according to a risk level. 7. The system of claim 6 , wherein the enforcement information source comprises a database of a plurality of enforcement actions. 8. The system of claim 6 , wherein the enforcement information source comprises a database of a plurality of complaints. 9. The system of claim 6 , the operations further comprising: selecting a line of business from a plurality of lines of business corresponding to the classification for the risk information document; and notifying the line of business of the association of the enforcement information with the risk information document. 10. The system of claim 6 , wherein classifying the risk information document using phrase-based scoring on the contents of the risk information document comprises: determining the classification of the risk information document by performing the phrase-based scoring against a plurality of risk information documents selected from a plurality of classifications. 11. The system of claim 6 , wherein classifying the enforcement information using phrase-based scoring on the contents of the enforcement information comprises: determining the classification of the enforcement information by performing the phrase-based scoring against a plurality of enforcement information documents selected from a plurality of classifications. 12. A computer readable storage device having instructions stored thereon, execution of which, by one or more processing devices, causes the one or more processing devices to perform operations comprising: determining that a risk event has occurred based on a presence of enforcement information stored in association with a risk information document in a storage; and retrieving the enforcement information and the risk information document; presenting in an interface, by the one or more processing devices, a plurality of discrepancies, wherein the plurality of discrepancies includes a discrepancy based on the association of the enforcement information with the risk information document; and permitting, by the one or more processing devices, arrangement of the plurality of discrepancies on the interface according to a risk level; and wherein the enforcement information is from an enforcement information source and is associated with the risk information document based on a match between first citation data of the enforcement information and second citation data of the risk information document to determine a correspondence between a classification for the enforcement information and a classification for the risk information document, wherein the classification for the enforcement information is determined using phrase-based scoring on the contents of the enforcement information, the classification for the enforcement information associated with the first cit
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