Abstract: Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system.

Abstract: Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system.

Abstract: Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system.

Abstract: Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system.

Abstract: A system and method of determining a recommended location for performing a work function is provided. In some examples, the system and method may include receiving a plurality of process criteria, such as hours of operation associated with the work function, type of work performed, skill set desired, language skills desired, and the like. The system and method may further include receiving a plurality of provider attributes, such as languages spoken, knowledge base/skill set, flexibility of staffing, and the like. One or more recommended locations for performing the work function may be determined based on the business and provider attributes.

Abstract: A system and method of determining a recommended location for performing a work function is provided. In some examples, the system and method may include receiving a plurality of process criteria, such as hours of operation associated with the work function, type of work performed, skill set desired, language skills desired, etc. The system and method may further include receiving a plurality of provider attributes, such as languages spoken, knowledge base/skill set, flexibility of staffing, etc. One or more recommended locations for performing the work function may be determined based on the business and provider attributes.

Abstract: A system and method of identifying one or more locations eligible to perform a work function based on one or more filtering parameters is provided. The system and method may include receiving a first plurality of locations and filtering the first plurality of locations to identify a second plurality of locations eligible to perform an identified work function based on a first filtering parameter. The second plurality of locations may be further filtered to determine a third plurality of eligible locations, the third plurality of eligible locations being identified based on a second filtering parameter. In some examples, the third plurality of locations may be further filtered to identify a fourth plurality of eligible locations, the fourth plurality of eligible locations being identified based on a third filtering parameter.