Abstract: An example system configured to assess risk includes a server, an end-user system that generates an activity report in response to an employee performing an action via a computer device communicatively coupled to the end-user system, and a data warehouse that assigns a category to the activity report and populates a data table in a report database based the category of activity report. The server applies a rule to the populated data table. The rule is selected based on the category of the activity report. When the rule indicates that the action represents risky behavior, the server generates a current alert report. After performing validation checks on the current alert report, when the alert report passes the validation checks, the server transmits the current alert report in accordance with the rule. Additionally, the server stores a response to the alert report.

Abstract: Systems and methods for utilizing compliance drivers to conserve system resources are provided. Data that corresponds to a pre-determined historical period may be used. A method may extract issue information, regulations data, operations loss data, drivers data, pending activities data and/or pending examinations data. The method may perform a plurality of transformations on the issue information, the drivers data, the regulations data, and the operations loss. The transformations may apply enterprise compliance hierarchy information and transform the data associated with the issue information, the drivers data, the regulations data, and the operations loss data into quarterly information. The method may include performing transformations on issue information, regulations data, operations loss data and drivers data. The method may perform final transformations in order to either allocate resources to remediate a compliance trend, remediate a compliance projection, or correct a current compliance issue.

Abstract: Systems and methods for utilizing compliance drivers to conserve system resources are provided. Data that corresponds to a pre-determined historical period may be used. A method may extract issue information, regulations data, operations loss data, drivers data, pending activities data and/or pending examinations data. The method may perform a plurality of transformations on the issue information, the drivers data, the regulations data, and the operations loss. The transformations may apply enterprise compliance hierarchy information and transform the data associated with the issue information, the drivers data, the regulations data, and the operations loss data into quarterly information. The method may include performing transformations on issue information, regulations data, operations loss data and drivers data. The method may perform final transformations in order to either allocate resources to remediate a compliance trend, remediate a compliance projection, or correct a current compliance issue.

Abstract: Systems and methods for utilizing compliance drivers to conserve system resources are provided. Data that corresponds to a pre-determined historical period may be used. A method may extract issue information, regulations data, operations loss data, drivers data, pending activities data and/or pending examinations data. The method may perform a plurality of transformations on the issue information, the drivers data, the regulations data, and the operations loss. The transformations may apply enterprise compliance hierarchy information and transform the data associated with the issue information, the drivers data, the regulations data, and the operations loss data into quarterly information. The method may include performing transformations on issue information, regulations data, operations loss data and drivers data. The method may perform final transformations in order to either allocate resources to remediate a compliance trend, remediate a compliance projection, or correct a current compliance issue.

Abstract: Systems and methods for utilizing compliance drivers to conserve system resources are provided. Data that corresponds to a pre-determined historical period may be used. A method may extract issue information, regulations data, operations loss data, drivers data, pending activities data and/or pending examinations data. The method may perform a plurality of transformations on the issue information, the drivers data, the regulations data, and the operations loss. The transformations may apply enterprise compliance hierarchy information and transform the data associated with the issue information, the drivers data, the regulations data, and the operations loss data into quarterly information. The method may include performing transformations on issue information, regulations data, operations loss data and drivers data. The method may perform final transformations in order to either allocate resources to remediate a compliance trend, remediate a compliance projection, or correct a current compliance issue.