US 11,710,101 B2
Data analytics system to automatically recommend risk mitigation strategies for an enterprise
Willie F Gray, North Granby, CT (US); Donato L. Monaco, Cromwell, CT (US); Jennifer Day, Versailles, KY (US); and Andrew D. Preece, Winter Garden, FL (US)
Assigned to HARTFORD FIRE INSURANCE COMPANY, Hartford, CT (US)
Filed by Hartford Fire Insurance Company, Hartford, CT (US)
Filed on Jun. 23, 2022, as Appl. No. 17/847,339.
Application 17/847,339 is a continuation of application No. 17/061,919, filed on Oct. 2, 2020, granted, now 11,403,599.
Claims priority of provisional application 62/923,759, filed on Oct. 21, 2019.
Prior Publication US 2022/0318758 A1, Oct. 6, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 40/00 (2023.01); G06Q 10/1057 (2023.01); G06F 16/2458 (2019.01); G06Q 10/0637 (2023.01); G06Q 40/08 (2012.01)
CPC G06Q 10/1057 (2013.01) [G06F 16/2465 (2019.01); G06Q 10/06375 (2013.01); G06Q 40/08 (2013.01); G06F 2216/03 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A data analytics system implemented via a back-end application computer server, comprising:
(a) a first risk relationship data store containing electronic records that represent a plurality of risk relationships between an enterprise and a first risk relationship provider, and, for each risk relationship, an electronic record identifier and a set of entity attribute values including an entity identifier;
(b) a second risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a second risk relationship provider, and, for each risk relationship, an electronic record identifier and a set of entity attribute values including an entity identifier;
(c) the back-end application computer server, coupled to the risk relationship data store, including:
a computer processor, and
a computer memory, coupled to the computer processor and storing instructions that, when executed by the computer processor, cause the back-end application computer server to:
analyze, by a data mining engine, a set of electronic records in the first and second risk relationship data stores to identify flags corresponding to risk drivers, wherein said analyzing is performed without retrieving other electronic records, and combining retrieved information with third-party data received from a third-party data source, to reduce a number of electronic records transmitted via a distributed communication network,
calculate, by a predictive analytics engine, a risk score associated with the set of electronic records based on the associated entity attribute values and the identified flags corresponding to risk drivers, and
automatically generate, by an insight platform, a recommended action for the enterprise to lower the calculated risk score;
(d) a communication port coupled to the back-end application computer server to facilitate a transmission of data with remote user devices to support interactive user interface displays via the distributed communication network; and
(e) an email server, coupled to the back-end application computer server, to automatically establish a channel of communication with an entity linked with the entity identifier and transmit a message, including an indication that the recommended action generated by the insight platform should be implemented, via the established channel of communication.