Wells Fargo Bank, N.a.

Daniel Jeffery Johnson

Rachel Nemecek

Christopher P Smith

Ramon Joseph Permato Esteves

Joe Heger

Ruoding Wong

Kettyl Amoakon

Matthew Todd Brown

Rommel B Limon

Techniques are described for analyzing and presenting alert-based information for an enterprise business. In particular, a central device in a computer system receives alerts from other devices associated with different office branches of the enterprise business, and analyzes the alerts on a periodic schedule. For example, every month, the central device may calculate a weighted alert volume by district based on the risk scores calculated for the office branches within the district, calculate an average weighted alert volume across the entire enterprise, and calculate the standard deviation of the average weighted alert volume to determine the alert risk rating for the district. The central device may also analyze the dispositions of the alerts on the period schedule. For example, the central device may determine coaching rates and/or disposition rates by district. The central device may further output the alert and/or disposition information to users in a simple format.

Computer systems for analyzing and presenting alert-based information

Techniques are described for automatically generating meta-alerts based on operational and security risk alert volumes for an entity. In particular, a central device receives entity alert information from other devices in a computer system of an enterprise business, which may have office branches that are each staffed by employees. The central device compares alert volumes of a given entity for a given period of time (e.g., a month) to one or more baseline thresholds determined based on the average alert volume of peer entities during the same period of time and the entity's own historical alert volumes to identify spikes or increases in the volume of alerts for the given entity. If the entity is trending high for the period of time, the central device generates a meta-alert to bring awareness to the relatively high volume of alerts identified for that entity.

Computer systems for meta-alert generation based on alert volumes

Growing community of inventors

Milwaukee, WI, United States of America

Daniel Jeffery Johnson